Total 4,029 data entry job vacancies in Information Technology category in Singapore

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories
• Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures
• Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis
• Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations
• Design and create reports, dashboards, and data visualizations using data visualization tools
• Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams
• Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a Project Manager to drive Data Center / Infrastructure projects for our client in Singapore which is a top global investment bank.

Responsibilities:

• Deliver Data Center / Infrastructure related projects, including implementation, migration, and upgrading.
• Focus on Project Management initiatives in Asia Pacific with an emphasis on:
• Technology systems infrastructure deployments / upgrades
• Understand the purpose of each application or infrastructure.
• Define resource requirements.
• Facilitate meetings among all stakeholders/ vendors regularly and produce status update reports periodically.
• Provide forecast costing for initiatives and maintain the budget throughout the project along with requisite administrative tasks.
• Support project processes, documentation, progress reporting, status meeting and escalation effectively.
• To deliver high visibility projects

Requirements

• Past project management experience in managing large scale projects for technology infrastructure services (such as datacenter / networking) in the banking / financial domain.
• Experience in managing project budgets with good understanding of P&L, Cash Flow forecasting and resource cost management.
• Possess past hands-on infrastructure experience such as server building, cabling, procurement, network switching, firewall configuration, racking, etc.
• Able to assess infrastructure requirements dependencies, constraints, and migration strategies working with the various technology SME’s.
• Experience in managing senior stakeholders with good communication skills.
• Vendor Relationship Management experience
• Formal project management training or certifications is a plus

To submit your application, click 'apply' or send your resume to [email protected]

Primary Objectives;

Custodian and system expert who can advise, analyze, plan, implement, maintain, support (and retire/refresh where required) all locally hosted (On premise, Cloud) data related platforms inclusive of data lakes, data warehouses, data marts, ETL, reporting, dash boarding and analytics:

Common to all Senior Analyst

• Maintain and ensure data platforms running in production are kept running and supported in a healthy state;
• Analyze and recommend new application and platform acquisitions to meet evolving Singapore Operation’s needs based on capturing and documenting business requirements elicited from business stakeholders
• Where the data platforms are in-house developed do the required coding and development, otherwise engage with 3rd party vendor to get enhancements developed and then deploy into test and prod when ready
• Ensure IT is operated in a manner that complies with Bank Policies and frameworks, standards, circulars, guidelines and MAS regulated act, notices, circulars, and guidelines applicable to technology (Compliance, Audit, Risk Adherence). – Application and Platforms
• Ensure IT assets are protected and secure – Applications and Platforms
• Assist in annual budgeting – Applications and Platforms
• Be a key stakeholder and technology partner on the bank Digital journey.
• Foster and champion bank PRIDE values within the technology department and imbue the department with a culture of teamwork, innovation, discipline, resiliency and dedication to how work is approached.
• Where vendor based solution approach adopted and/or outsourced approach, arrange due diligence and assessment from technology perspective on behalf of users.
• Provide day-to-day support to business users on any data platform related system issues or constraints
• Ensure assigned application deployments running on bank managed environments are properly QA and meet conditions. 
• Co-ordinate the setup and manage test environments to ensure business can do their enhancements and new projects testing.

Specific to Enterprise data platform and datamarts

• Enterprise Data Platform and Datamarts: Next Generation Cloud Data lake platform, theme specific cloud data marts, on premise legacy data warehouse system, on premise staging database, custom developed ETL

Key Responsibilities;

Strategy, Planning, Mgmt. Reporting

• Provide expert advice and support to technology management in the area of expertise

• Contribute in the formulation a comprehensive Branch IT strategy covering IT policies and procedures, security, architecture, business solutions and operational functional requirements
• Keep abreast of developments and innovations in the FI IT landscape
• Provide mentorship, support and guidance to colleagues, share information and facilitate problem solving

• Contribute in the yearly budgeting for IT expenditures and investments.

IT Operations

• Ensure data platforms running in production are healthy and functioning per expected.

• Ensure prompt and efficient provision of IT support based on assigned area of expertise (includes request from Data center operations team)

• Oversee contingency plans and ensure their adequacy

• Ensure IT assets are protected and secure

• Maintain and ensure timely renewal of digital certificates and proper lodgment with IT security team.

• Ensure IT operations run in a manner consistent with high score from audit, risk, compliance assessments. The following to be operationalized as standard procedure against all IT asset components:

1. Administrative Accounts – All admin accounts lodged into PAM solution per group IT Security guidelines and MAS notice 655 point 4.1
2. Patching – Patch notification process established with vendors and patch calendar updated, upon patch release assessment and implementation as needed Per patching guidelines and MAS notice 655 point 4.2
3. Hardening - Per component definition and enforcement against SG security standard and Group IT Security guidelines and SG addendum/s and MAS notice 655 point 4.3
4. Network Perimeter Defense – Network traffic and segments, firewalls, proxies, dns, vpn access setup in secure manner per group IT security guidelines and MAS notice 655 4.4

• Malware – IT Security consulted and all required IT security protections installed on IT assets per MAS notice 655 point 4.5
• Multi-factor Authentication – MFA, where applicable implement MFA of administrative and internet accounts with access to customer information using PAM per MAS notice 655 point 4.6
• Logging and Monitoring – Security, Capacity, Downtime, Audit
• Capacity Mgmt. – Pre-emptive monitoring (via monitoring), planning and execution of capacity upgrades as needed
• EOL/EOS Upgrades – Per group guidelines. Track and execute upgrades and/or do risk assessment and deviation approval.
• Housekeeping – scripted clean-ups and truncations of logs and temp files after necessary archives executed
• Backups – Required backup strategy per backup guidelines operationalized to central Backup Platform. Recurring scheduled backup validation activities scheduled and performed ongoing to ensure backups working per need.

• Work with system stakeholders to ensure proper classification of system criticality and ensure design and architecture can meet the assessed criticality needs:
  • MAS 644 defined Critical system – Ensure DR setup and working and can achieve RTO within 4 hours, RPO within 2 hours and maximum unplanned downtime of not more than 4 hours per rolling 12 months;
  • MAS 644 defined non-critical system – Ensure HA/DR per stakeholder requirement.
• BCM related activity planning and execution
• Review and Approve/Reject production change requests as part of TCAB committee
• Raise CAB CR as necessary
• Cutover related planning and execution
• Ensure and maintain adequate test environments in good working order to support enhancements and new projects;
• Adhere to SDLC for both in-house and 3rd party solution platforms.
• Take BAU day 2 operational ownership in terms of maintenance, support and minor enhancement ownership of new systems and/or major enhancements delivered by the Digital Delivery and DevOps team
• Track IT related spend against budget.
• Write Memos to authorize procurements
• Write Memos to get deviation approvals where required.

Application and Systems Development / New Platform Acquisition

• Lead in the requirements gathering and documentation, design and where in-house the coding, test support and implementation of new systems or enhancements of existing systems:
  • Analyze, design, document and develop technical solutions according to business requirements (or in case of off the shelf, co-ordinate with 3rd party vendor)
  • Provide accurate, complete and up to date system documentation
  • Provide training to users to ensure correct usage and proper adoption upon rollout
  • Oversee the QA of software implementation
  • Oversee the deployment and implementation of applications to run on Cloud for existing systems based on end-user needs and business rationale.
  • Assist team lead to write and table committee papers as required to get new systems and/or platforms, or major refreshes approved.
  • Write Memos to authorize procurements
  • Write Memos to get deviation approvals where required
  • Work together with Digital Delivery and DevOps team to support digital and cloud initiatives in terms of initial advisory and then follow-on necessary analysis and co- ordination/implementation related to integration requirements and enhancement required to existing data platforms to enable the digital initiative.
  • Work with Digital Delivery and DevOps team to support migration of workloads running on- premises to Cloud.

Regulatory and Procedural Expertise

• Keep up to date and refreshed on required reading related to guiding how IT must be run in a regulated Financial institution. Minimum read list:
  • MAS Technology Risk Management Guidelines (TRMG)
  • MAS Notice 644 – Technology Risk Management.
  • MAS Notice 655 – Cyber Hygiene
  • MAS Outsourcing Guidelines
  • RHB Group IT Security Guidelines and SG addendum/s
  • SG Patching Guidelines
  • SG Backup Guidelines
  • SG Technology Department Operational Manual (OM)
  • SG IT Standard Operational Procedures (SOP), and System Manuals (SM)
  • SG Procurement Operational Manual (OM)

Other Responsibilities

• Participate in Monthly Technology Department meetings.
• Participate in regular Team meeting.
• Use Department issue and work tracking platform.
• Maintain and keep up to date team knowledge base and assist in updating team document assets such as system manual / standard operating procedures (SOP), and operations manuals

Job Description:

• Conversion of existing Python scripts (in AWS) specific to Life and Health Actuarial teams to Google Big Query SQL.
• Testing of the rewritten Big Query SQL logic and sign-off, upon alignment with Actuarial teams.
• Document the requirement, ETL logic, testing plan and test results Business Responsibilities.
• Work closely with finance and actuarial team enterprise architecture team, application development team to understand the applications workflow and requirement, integration pattern with finance cloud platform.
• Conduct business analysis by eliciting, interpreting and analyzing the requirements from actuarial teams and producing specification of actuarial metrics & analysis.
• Act as main liaison between business/actuarial teams and technical delivery team to drive realization of actuarial processes into proper execution, change management and BAU activities.
• Create and maintain accurate and up to date documentations.
• Support the migration of pricing tools in terms of technical accuracy and efficiency.
• Support the actuarial control cycle through assisting the valuation team in the reserving exercise and strategic planning exercise.
• Provide monitoring updates on profitability trends to senior stakeholders. This includes inflation studies, actual vs expected studies for all products, understanding the key profitability/loss drivers and providing recommendations.

Requirements:

• Must have high technical proficiency with Python and Google Big Query SQL skills.
• Present actuarial recommendations and reports to senior management, effectively translate complex actuarial codes in a clear and concise manner.
• Highly experienced within Life or Health Insurance domain, preferably within 2-3 years’ experience.
• Business Intelligence/Data Warehousing/ETL experience.
• Excellent analytical skills, with the ability to analyze complex data sets and derive actionable insights.
• Detail-oriented mindset, focusing on accuracy and precision in actuarial calculations and analyses.

Responsibilities:

• Utilize critical thinking to analyze multi-source data and trends, drawing conclusions to drive business outcomes across global programs.
• Connect operations quality gaps to process, product & behavioral issues and drive analysis and actionable projects across internal operations and product teams.
• Design and deploy analytics dashboards to monitor key business metrics, establishing baselines, targets, averages, and benchmarks, and present findings in business forums through presentations.
• Identify appropriate data sources, extract data for analysis, and independently apply analytics tools to generate insights.
• Execute or lead quality assessments on advertisement products.
• Conduct thorough analysis of assessment scores and trends in customer experience and product failure points across process, product, and operational policies.
• Provide guidance and support to vendors to maintain adherence to quality standards.
• Gather insights from various channels and amalgamate them for actionable insights.
• Develop and implement comprehensive training programs in line with organizational objectives, collaborating with subject matter experts to create training content and materials.

Qualifications:

• Minimum 4+ years' of experience in the Quality domain, preferably within a business function or technical customer support vendor program.
• Proficient in data analytics tool (e.g. excel etc.).
• Knowledge in programming languages (e.g. Python) and visualization tools (e.g. Tableau/Power BI).
• Analytical experience solving problems using data and providing actionable business insights.
• Experience in understanding, communicating and resolving technical issues to both technical and non-technical audiences.
• Strong oral and written communication skills.
• Experience in advertisement tech/digital technology is a plus.

About EDHEC Business School

EDHEC Business School, one of Europe’s leading business schools and a member of the select group of institutions worldwide to have earned all three international academic accreditations (AACSB, EQUIS, AMBA). Since 2001, EDHEC Business School has been pursuing an ambitious policy in terms of international research. This policy, known as “Research for Business”, aims to make EDHEC an academic institution of reference for the industry in a small number of areas in which the school has reached critical mass in terms of expertise and research results.

About the EDHEC Singapore Infrastructure Investment Institute

Scientific Infra & Private Assets Ltd (SIPA) is the corporate arm of the EDHEC Infrastructure & Private Assets Research Institute (EIRA) at EDHEC Business School, an ESMA-recognised index provider, specialised in providing market index, benchmarks and comparables to investors in private markets, including unlisted infrastructure equity, private infrastructure debt and private equity. SIPA provides bottom-up, asset-level metrics of the risk and performance of investments in unlisted companies and their debt, as well as advanced measures of the climate impacts and risks of infrastructure assets worldwide.

Today, users of SIPA data include major investors, asset managers and consultants and represent several hundred billion USD of assets under management (AUM). SIPA is based in Singapore and London.”

SIPA is looking for an analyst to help develop a database of infrastructure project financial statements under the supervision of the Institute’s Head of Data Collection. Additionally, as equity price analyst that collects and review market transactions for multiples.

The position

This is an opportunity for candidate with a foundational understanding of accounting, finance or economics majors to foster an in-depth knowledge in infrastructure projects and private equity companies, along with the financial frameworks that underlie them.

This role involves conducting thorough equity price and debt analyses for unlisted constituents, aiming to collect transaction-based multiples for equity and debt inputs from the market. Subsequently, derive meaningful insights applicable to infrastructure and private equity investments. This involves reviewing equity transactions to grasp pricing dynamics, global deal flows, and equity valuations. Additionally, they will assess debt structures and financing arrangements for unlisted constituents, including terms of debt issuance, covenants, and interest rates.

Starting with the scrutiny and input of financial statements, this role also entails conducting research and analysis on infrastructure projects and private equity companies, with a specific focus on gathering and maintaining financial data within a database encompassing unlisted infrastructure, private equity assets, and climate-related information.

Requirements:

· A preferred qualification is a Bachelor's degree or higher, with a major in accounting, finance, or economics;

· Proven experience in financial analysis, pricing, or equity research role, preferably within the financial services industry.

· Proficiency in Microsoft Office Suite is a fundamental requirement for this role;

· While not mandatory, a professional background of 1-2 years is preferred;

· An understanding of financial accounts is desirable and willing to spend time reading detailed project documentation to extract the relevant information and populate a data file;

· Detail oriented with a willingness to learn; Possess strong analytical and problem-solving abilities;

· Ability to work collaboratively in a fast-paced, dynamic environment and manage multiple priorities effectively.

· Exhibit exceptional written and verbal communication skills to foster productive collaboration with diverse internal stakeholders.

· Demonstrate proactive initiative, consistently delivering results within tight deadlines.

· Proficiency in a European language would be advantageous.

This is a full-time, on-going position.

Remuneration is competitive and includes a bonus for meeting performance objectives.

Attractive salary and bonus, healthcare and pension plan coverage.

The salary will be determined according to EDHEC's pay scale, the candidate's qualifications and experience.

To apply for this offer, please send a CV and a cover letter to: [email protected].

To know more about EDHECinfra: https://edhec.infrastructure.institute/mission

About the Role:

We are seeking a meticulous and detail-oriented Data Processing Operator to join our team. The ideal candidate will be responsible for collecting, processing, and managing real estate data to support our analytics and reporting functions. This role requires a high level of accuracy, technical proficiency, and a keen interest in real estate and data analytics.

Key Responsibilities:

• Collect and process large volumes of real estate data from various sources.
• Input, update, and maintain accurate and up-to-date information into designated databases
• Review entered data for accuracy and completeness
• Collaborate with colleagues or supervisors to clarify information, resolve discrepancies, or address any issues related to data entry tasks.
• Follow established protocols, guidelines, or standard operating procedures (SOPs) for data entry
• Identify and troubleshoot data discrepancies and work towards resolving them promptly.
• Stay updated with industry trends and advancements in data processing technologies.

Requirements:

• Diploma or equivalent in Information Technology, Data Science, Computer Science, or a related field.
• Proven experience in data processing, data entry, or a similar role.
• Strong proficiency in MS Excel and other data management software.
• Experience with database management systems and data analytics tools.
• Excellent attention to detail and a high level of accuracy.
• Familiarity with real estate data is a plus.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,000 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data analysts to join us in our cause of helping customer Stay Modern, ahead of the technology curve!

Roles and Responsibilities

• Using automated tools to extract data from primary and secondary sources
• Removing corrupted data and fixing coding errors and related problems
• Developing and maintaining data in databases, data systems – reorganizing data in a readable format
• Performing analysis to assess quality and meaning of data
• Filter data by reviewing reports and performance indicators to identify and correct code problems
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Preparing reports for stakeholders stating trends, patterns, and predictions using relevant data, with the aim of driving stakeholder action on their businesses/functions
• Building dashboards and curating data stories for use cases

Skills Required

A successful data analyst needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management, Engineering, Sciences or Economics can serve as a solid foundation to build your career as a data analyst.

• 1 - 2 years of data analytics and modelling experience
• Strong proficiency in Python and SQL scripting skills
• Prior experience with at least 1 BI tool such as Tableau, PowerBI, QlikSense and/or similar software is essential
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Strong mathematical skills to help collect, measure, organize and analyze data
• Adept at queries with good communication and stakeholder management skills

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Resso, CapCut, Helo, etc. We are building platform foundation, leveraging data and ML models, and providing end-to-end solutions to power global growth of ByteDance products. Typical Growth projects including referral, notifications, paid ads, etc.

You will:

- Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.

- Prototype analysis pipelines to provide insights, and provide quick responses to business inquiries and events;

- Conduct routine and non-routine end-to-end analyses with large, complex data sets, and make recommendations on appropriate solutions;

- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.

Qualifications

- Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field

- 5+ years of working experience in Data Science, algorithmic engineering, or machine learning

- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling

- Strong technical leadership combined with hands-on data mining and machine learning application experience

- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice

- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;

- Quickly familiar with and starting a new business; Can lead a small project team to support business

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Senior Data Storage Engineer

Contract: 12 months

Job Descriptions

• Design, configure, develop, integrate, test, implement, document to support the storage infrastructure ecosystem.
• Work with different teams to explain requirements and suggest the appropriate storage systems and backup solutions and procedures.
• Build storage systems for information and networks for large enterprises that can cater to thousands of users at the same time.
• Facilitate the designing of the concepts and procedures, besides handling resource allotment.
• Maintain the fiber channel switches and SAN arrangements by ensuring that software and firmware are in keeping with the latest needs of the organization.
• Work with vendors to fix issues.
• Research new technologies to find out if they suit their organization’s existing infrastructure. Otherwise build appropriate infrastructure to fit them for the organization needs
• Set up and maintain documentation of the existing technology and solutions.
• Design the concept and process and handle resource allocation.
• Creating data usage and precise performance reports with office applications.
• Technology - storage and backup, Netback, Veeam, ArcServ
• Degree in Computer science or Equivalent
• At least 5-8 years of experience working with Data storage including 1-3 years of implementation experiences

Company Reg No.: 201131609D, Licence No.: 11C4684, EA Reg no: R1655133, Ashraf Ali

Job Responsibilities:
1. Support data classification and taxonomy methods and standards, understand business and cooperate with the data team. Support analysis, identification, and marking of various data samples in storage, and ensure accuracy and recall rate.
2. Support the R&D team to improve algorithm recognition and machine learning ability, analyze badcase of algorithm-recommended data labels, put forward suggestions and basis for annotation/labeling, and participate in the discussion of algorithm model improvement solutions
3. Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
4. Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards
5. Participate in the functional optimization design of the annotation platform

Ability requirements:
1. Majored in Computer Science or IT-related, with research and development in testing, data analyst or DBA experience, familiar with all kinds of data samples in storage
2. Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes
3. Be able to effectively do repetitive tasks and effectively with a minimum of errors
4. Knowledge of artificial intelligence and machine learning.

Location: Singapore Duration: 3 to 6 months

About Us:

We are a leading company specializing in cutting-edge financial technology solutions. Our innovative platforms and applications empower our clients to manage their finances efficiently, securely, and with unparalleled convenience. As a market leader in the fintech industry, we are dedicated to driving digital transformation and shaping the future of financial technology. Our passion for connecting the dots extends beyond the technological realm. We foster a culture of inclusivity that values collaboration and knowledge-sharing among our team members, clients, and partners. Together, we harness the power of connection to inspire innovation, drive growth, and shape a better future for the fintech industry.

Become a Data Whiz on Our HR Team!

Are you a detail-oriented student with a passion for Data? Do you thrive in a fast-paced environment and enjoy working with data? If so, we'd love for you to join our HR team as a Data Whiz Intern!

In this exciting role, you'll gain hands-on experience in HR data management and analytics, playing a key role in supporting our team's strategic decision-making. You'll collaborate with HR professionals, analyze key data points, and contribute to system implementation projects.

What You'll Do:

• Become a Data Master: Gather and organize job evaluation and performance review data, ensuring accuracy and completeness.
• Unlock Data Insights: Analyze data to identify trends and patterns, providing valuable insights for HR initiatives.
• Tech-Savvy Support: Assist with implementing new HR systems and provide user training.
• Team Player: Collaborate with HR, IT, and managers to ensure smooth project execution.

You're a Perfect Fit If You Have:

• Current enrollment in HR, Business Administration, or a related field.
• A keen eye for detail and a passion for accuracy.
• Proficiency in Microsoft Office Suite (Excel & PowerPoint a plus).
• Excellent communication and interpersonal skills.
• The ability to thrive in a fast-paced environment.
• A willingness to learn and take initiative (prior HR or data management experience is a bonus!).

Why Intern with Us?

• Gain invaluable experience in HR data management and analytics.
• Work alongside experienced HR professionals and learn best practices.
• Contribute to impactful projects that shape our company culture.
• Enjoy a flexible work environment with potential remote work opportunities.
• Receive mentorship and guidance from industry experts.

Ready to join our dynamic team and make a real impact? We look forward to hearing from you!

Job Scope:

• Assist in new and existing data projects related to Enterprise Data Platform, from new technology evaluation and migration when needed and perform additional data-related tasks
• Develop data processing pipelines for ingestion, modelling, analysis, mining and reporting with SQL, Python, Spark etc.
• Solve technical challenges posted to the Enterprise Data Platform in huge volume, velocity, and business complexity
• Analyse impact of requested changes and propose improvements to continuously address changing business needs
• Ensure product (Power BI Report/Dashboard) readiness for smooth deployment, adoption and operations
• Assist in development of Generative AI Powered chatbot projects
• Collaborate with CapitaLand’s infrastructure, internal Data & AI team and business users for support and development

Interested candidates, please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform you that only shortlisted candidates will be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance, and skills upgrading services, and partnering with employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nationwide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use, and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID < R21100696> (Agnes Goh Li Er)

Job Description

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that help the organization achieve its goals.
• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Strong experience in mapping attributes, data profiling , data cleansing , and technical data quality etc.
• Strong experience in Ansi SQL and in-depth knowledge with structured , semi-structured & unstructured data
• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP
• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.
• Good to understand data security features like data masking, data encryption , role based & fine grain access control mechanisms etc.

Qualifications

• 5+ years of relevant experience in data engineering/analytics space
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Experience developing solutions for cloud computing services and infrastructure.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective
• Experience in agile development.

Kshama

Registration No. / Unique Entity Number: 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Job Responsibilities:

• Support data classification and taxonomy methods and standards
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate
• Support in improving algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels and put forward suggestions and basis for annotation/labelling
• Participate in the discussion of algorithm model improvement solutions
• Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
• Improve the data annotation operation process, optimize the label sampling and review mechanism
• Participate in the functional optimization design of the annotation platform

Requirements:

• Majored in Computer Science or IT related, with minimum 2 years of research and development in testing, data analyst or DBA experience
• Familiar with all kinds of data samples in storage
• Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes
• Be able to effectively do repetitive tasks and effectively with a minimum of errors
• Knowledge of data modelling, artificial intelligence and machine learning

About Tiktok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The Data Management Suite team is building products that cover the whole lifecycle of data pipeline, including data ingestion and Integration, data development, data catalog, data security and data governance. These products support various businesses, so data engineers and data scientists could greatly boost their productivity.

As a software engineer in the data management suite team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on core systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

Responsibilities:

• Design and implement a unified data development platform that improves the efficiency of globalization data producers, which includes intelligence IDE, workflow management, multiple engine integration etc.;
• Figure out efficient ways to manage distributed states, and sync metadata between centralized place and regions globally;
• Design and develop a high-performance and distributed scheduling system that manages large-scale tasks across different business lines in whole ByteDance;
• Work closely with partner teams across the company and all over the world;
• Responsible for the design and development of integration with other systems in the big data area

Minimum Qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience
• 5+ years of experience in software development, and with data structures/algorithms
• 3+ years of experience with design and architecture, and testing and launching software products
• 2+ years of experience in data management systems, have experience of building big data development platforms, data catalog platforms, or data transfer platforms;

Preferred Qualifications:

• 5+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture
• 3+ years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
• Experiences in data platform related product development or big data technologies (such as Hadoop, Clickhouse, Flink etc.)

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us. We provide extensive training, bootcamps/on-the-job to prepare qualified candidates for an exciting career in Data Analytics in Government and Public Sector.

What is a Data Engineer?

The role of a data engineer can be defined as someone who has the knowledge and skills to design and build systems for collecting, storing and analyzing data at scale.

Roles and Responsibilities:

• Work closely with the project team to develop and validate ETL workflow and packages in Informatica / Talend
• Drive the maintenance of data engineering pipelines
• Implement data engineering pipelines as per business needs and technical specifications provided by stakeholders and work closely with the data engineering team to ETL the required data from source systems into datastore
• Develop ETL jobs i.e. workflow packages, auto schedulers, in Informatica PowerCenter as per specifications and requirements
• Monitor and ensure ETL jobs are successfully executed and handle troubleshooting of any related technical problems on-site

Skills Required:

A successful data engineer needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management can serve as a solid foundation to build your career as a data engineer.

• 1 to 2 years of ETL experience
• Strong proficiency in Python and SQL scripting skills
• Proven experience in Informatica PowerCenter in a similar capacity
• Prior experience with ETL operations using at least one other ETL - Informatica and/or Talend
• Knowledge of creating ETL packages and configuring workflows
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Adept at queries with good communication and stakeholder management skill

Client Intro:

Our client is a global leader in consulting, technology services, and digital transformation. With a focus on innovation and sustainability, they offer a wide range of solutions to help businesses thrive in the rapidly evolving digital landscape, delivering value to clients across various industries worldwide.

Job Responsibilities:

▪ Conversion of existing Python scripts (in AWS) specific to Life and Health Actuarial teams to Google Big Query SQL.
▪ Testing of the rewritten Big Query SQL logic and sign-off, upon alignment with Actuarial teams.
▪ Document the requirement, ETL logic, testing plan and test results.

Business Responsibilities
▪ Work closely with finance and actuarial team enterprise architecture team, application development team to understand the applications workflow and requirement, integration pattern with finance cloud platform.
▪ Conduct business analysis by eliciting, interpreting and analyzing the requirements from actuarial teams and producing specification of actuarial metrics & analysis.
▪ Act as main liaison between business/actuarial teams and technical delivery team to drive realization of actuarial processes into proper execution, change management and BAU activities.
▪ Create and maintain accurate and up to date documentations.
▪ Support the migration of pricing tools in terms of technical accuracy and efficiency.
▪ Support the actuarial control cycle through assisting the valuation team in the reserving exercise and strategic planning exercise.
▪ Provide monitoring updates on profitability trends to senior stakeholders. This includes inflation studies, actual vs expected studies for all products, understanding the key profitability/loss drivers and providing recommendations.

Job Requirements:

▪ Must have high technical proficiency with Python and Google Big Query SQL skills.
▪ Present actuarial recommendations and reports to senior management, effectively translate complex actuarial codes in a clear and concise manner.
▪ Highly experienced within Life or Health Insurance domain, preferably within 2-3 years’ experience.
▪ Business Intelligence/Data Warehousing/ETL experience.
▪ Excellent analytical skills, with the ability to analyze complex data sets and derive actionable insights.
▪ Detail-oriented mindset, focusing on accuracy and precision in actuarial
calculations and analyses.

Next Step:

Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package. Simply click on 'Apply here' to drop your resume or email at [email protected].

Susmita Sahu

EA License No: 91C2918

Personnel Registration Number: R23114076

Data Scientist

Responsibilities:

• Analytics Solution Design and Development
• Design and implement innovative solutions using statistical models, machine learning and other data mining techniques.
• Handle challenges of analysing real-world data, such as incompleteness, bias, class imbalance and high volatility.
• Create effective visualizations and dashboards to communicate insights with end-users.
• Support the development and deployment of scalable and robust software solutions, working with IT solutions engineers.
• Engage with customer management teams to understand business requirements, project scope and develop a sound project plan.
• Think strategically and creatively, to exploit data science for a competitive advantage.
• Manage project implementation (for analytics scope only) to ensure that solutions are delivered on time and on requirements.

Knowledge Development and Management

• Research and experiment with new advances in analytical methods, algorithms and tools to deepen and develop new capabilities (i.e. deep learning, optimization, parallel computing).
• Elevate team competencies by sharing the latest trends and best practices.
• Support knowledge management by ensuring that learnings and insights arising from conferences, projects and industry engagements are documented.

Knowledge, Skills & Experience

• 2-5 years experience in Data Science, Analytics.
• Experience with Python, including packages such as NumPy, Pandas and scikit-learn.
• Experience in training, selecting and tuning machine learning models, employing techniques like data preparation, feature engineering, cross-validation and bagging/ boosting.
• Experience in data visualization tools or libraries such as Tableau, Power BI or packages in Python or Javascript.
• Experience with RDBMS such as MySQL, PostgreSQL, MongoDB, MS SQL Server.

Company Reg. No.: 201131609D | Licence No.: 11C4684 | Reg No: R1655133, Ashraf Ali

Job Responsibilities:

· Seated within Global Markets team

· Supporting in creating and maintaining key risk metrics

· Data preparation and conducting reviews and investigations

· Analyzing and validating of requirements

· Gathering of requirements from internal stakeholders and applying effective methods

· Performing of data cleansing and ensuring data consistency

· Regulatory reporting

· Adhoc tasks and projects as assigned

Job Requirements

· Minimum Diploma in a related discipline

· Minimum 3 years of relevant experience

· Able to start immediately or within short notice

Interested candidates, kindly email your detailed resumes in MS word format to [email protected]

Attention to Joseph Koh Wei Jie (R1873431)

Shortlisted candidates will be notified

www.ambition.com.sg

EA Registration Number: R1873431

Data provided is for recruitment purposes only

Business Registration Number: 200611680D. License Number: 10C5117

Job Description:

• Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.
• Create user-friendly, visually engaging dashboards, reports, and presentations to convey complex data analyses to stakeholders, facilitating data-driven decision-making at all organizational levels.
• Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.
• Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.
• Stay updated on industry trends and best practices in data analysis and engineering. Propose and implement process enhancements to improve data quality, efficiency, and overall performance.
• Establish, uphold, and oversee data security and privacy measures on the data platform.
• Work closely with other teams to ensure the successful execution of projects and initiatives.
• Maintain and provide day-to-day operational assistance on the data platform, including:
• Monitoring data pipelines, databases and analytical processes to ensure uninterrupted operation.
• Promptly identify and resolve data-related issues, performance bottlenecks, and data quality concerns.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a closely related field.
• Minimum of 5 years of practical experience in data platforms, data analytics, or related projects.
• Experience with Microsoft SSIS is considered a must.
• Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.
• Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.
• Display proficient programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated capability to design and implement data models, ETL processes, and data integration solutions.
• Be acquainted with cloud-based data platforms like Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent, as well as data storage technologies such as SQL and NoSQL databases.
• Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.
• Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.
• Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.

Applicants with relevant experience may be considered for senior roles

Pls send in your updated resume stating past experiences, reasons for leaving, current and expected salaries to [email protected]

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Oversee building and data centre facilities components, including Building Management System, Fire Detection and Protection systems, Energy Management System, Chiller, Electrical
• Conduct troubleshooting and maintenance of facility equipment
• Manage contracts for facilities and equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Responds to emergency and be on 24x7 standby
• Oversee new data centre projects including renovation and maintenance
• Responsible for site inspections / audits by authorities
• Scheduling and tracking of servicing jobs and vendor management

Requirements

• Educational qualification in Electrical / Mechanical Engineering or equivalent
• At least 1 – 2 years’ relevant experience in DC facility management and vendor management

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg


Interested Applicants
Please WA Bryan Tay @ 97559161
Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Job Duties:

• Filtering of data, handling missing values and preparation of dataset for analysis to ensure accuracy and relevance
• Using statistical tools to explore and analyze data, identifying patterns, relationships and trends
• Creation of visual represenations of data findings through charts, graphs and dashboards to ensure data can be understood easily
• Analyzing voluminous data, designing and optimizing pipelines for data processing, and aggregating multiple data sources
• Preparation of reports and presentations to communicate the insights and findings from data to stakeholders, influencing policy and decision-making processes
• Work with internal stakeholders to understand data needs and help them make informed decisions based on data insights

Job Requirements:

• Bachelor’s degree in accounting, finance or equivalent
• Advanced skills in Microsoft Excel and PowerQuery, experience with using Python in a data-driven environment
• Demonstrated experience leading design and building dashboards for a broad audience in Power BI

Interested applicants please send your resume in MS Word format and attention it to Rachel Yeo (R22104385).

Shortlisted candidates will be notified

Data provided is for recruitment purposes only

www.ambition.com.sg

EA Registration Number: R22104385

Business Registration Number: 200611680D. Licence Number: 10C5117

Service requirement for Hands & Feet Support

As part of “Network Smart Hands Services”, Service Provider will provide touch support for the data center equipment (e.g., servers, backup, storage, network devices). Providing hands and eyes support, inventory capture and logistics (ICL) support, portable storage media (PSM) support, shipping/receiving, data center hardware/parts cage management, asset tagging/barcoding, and disposal coordination.

During Business, on-site technicians will utilize either hot swaps spares[SL1] [NM2] , or engage client approved hardware vendor for any hardware replacements, as needed by client, to facilitate restoration time.

As part of Smart Hands Services, Service Provider shall perform the following activities, (e.g., power cycle devices, cable route/path tracing, manage spares inventory, receive, and dispatch goods, etc.)

Perform visual inspection of third-party equipment such as carrier or provider network equipment.

Provide fault isolation and break/fix activities for the in-scope data center equipment (servers, backup, storage) and network devices (including network sniffer, vulnerability scanners and security sensors);

Direct third-party vendors who may be involved in diagnosing and correcting system related issues and assisting with solutions.

Coordinate maintenance and outages with local and remote vendors.

Rack, stack, install and decommission equipment and assets as requested.

Perform all network cable and jack testing.

Perform all cable patching as required.

Provide after-hours support (during critical change activities) for critical network upgrades and maintenance.

Perform end-to-end network patching.

Participate in DR testing as requested by client.

Provide timely communication on issue status and resolution, at intervals and timings as prescribed by Client, which may vary by issue severity and platforms impacted as determined in Client’s sole discretion.

Maintain ticket updates for all reported Incidents.

Use diagnostic tools under the guidance of the CLIENT SME [SL3] [AC4] [SL5] [NM6] to troubleshoot problems associated with network connectivity; and Provide project-based support, availability permitting, with maximum flexibility and teamwork, as requested by Client, at no additional cost. At least annually for each of Client’s offsite tape storage vendors, Service Provider will audit the tapes stored at the corresponding facility to physically verify the tape inventory, and to ensure Service Provider’s compliance with Client’s security and tape storage requirements and its obligations under this SOW.[SL7] [AC8] [SL9] [NM10] [NM11] Training and guidance to be provided by CLIENT.

Perform activities required within Service Provider Colo Facilities data centers related to the vaulting partner, including:Prepare media for off-site storage, for transfer to other third parties as requested by Client or as otherwise required.[SL12] [AC13] [SL14] [NM15] [NM16] Training and SOP to be supplied.

Log and track all physical storage media in and out of applicable Client Locations in tape tracking systems.Handover and receive storage media to and from the off-site tape vaulting partner on an agreed regular basis, and as required on Client’s request.

Manage the inventory of off-site storage media.

Insert the media as directed by Client or Client’s designated storage and backup actor.

Collect the ejected tape from storage library.

Maintain the inventory of tapes, tape reconciliation, and maintain chain of custody of tapes; and Perform and report media utilization.
Engineers would be expected to follow structured cabling best practice for example clean routing of the cable and labeling the cable at each end.

Out of business hour an engineer will need to be onsite with 4 hours.

[SL1]To be provided by HCL Ex. Harddisks, fan etc.

[NM2]Language added to clarify and now resolved

[SL3]Please specify which tools to be used. It will help us to train our engineers

[AC4]That is something we are working on and HCL will be responsible for the training

putty, data transfer from one device to other, asset management, and some additional tools provided by HCL. [SL5]

IKK buy tools and charge back to HCL

[NM6]Language added and closing this as resolved

[SL7]Out of Scope or additional Scope?

[AC8]If the audit is going to take more than 4 hrs then we will engage IKK thru project and u can have extra billing

Agree, part of training [SL9]

[NM10]Added “Training and guidance to be provided by HCL.”

[NM11]Resolved and closing

[SL12]In Scope?

[AC13]Yes this is in Scope and should not take more than 15 mins daily

same as above [SL14]

[NM15]This would involve a communication sent tot the engineer informing them on what tapes need to be removed from the vault and inserted. The engineer would contact the Off site storage company to ask for tapes that are required and place the ones removed into a box. The off site storage vendor would attend to the site with the new tapes in a box and engineer would hand over the tapes to be returned and each party would sign for it and then email the Backup team of the actions. A full process would be documented in and sent as a SOP to you.

[NM16]Language added and resolving the point

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us. We provide extensive training, bootcamps/on-the-job to prepare qualified candidates for an exciting career in Data Analytics in Government and Public Sector.

What is a Data Engineer?

The role of a data engineer can be defined as someone who has the knowledge and skills to design and build systems for collecting, storing and analyzing data at scale.

Roles and Responsibilities:

• Work closely with the project team to develop and validate the data engineering applications
• Drive the maintenance of data engineering pipelines
• Implement data engineering pipelines as per business needs and technical specifications provided by stakeholders and work closely with the data engineering team to ETL the required data from source systems into datastore
• Develop ETL jobs i.e. workflow packages, auto schedulers, in Informatica PowerCenter as per specifications and requirements
• Monitor and ensure ETL jobs are successfully executed and handle troubleshooting of any related technical problems on-site

Skills Required:

A successful data engineer needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management can serve as a solid foundation to build your career as a data engineer.

• 1 to 2 years of ETL experience
• Strong proficiency in Python and SQL scripting skills
• Proven experience in Informatica PowerCenter in a similar capacity
• Prior experience with ETL operations using at least one other ETL software such as SSIS, Informatica and/or Talend is a major advantage
• Knowledge of creating ETL packages and configuring workflows
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Adept at queries with good communication and stakeholder management skill