Responsibilities

• To provide 24 x 7 support for Data Center running on 12 hours shift
• Assisting the Customer in the verification, isolation and/or provision of a temporary work around for the incident/problem logged.
• Resolving the incident/problem onsite.
• Escalating unsolvable problems and service requests to the System and/or
• Software Engineer and reporting the escalation to the Project Manager.
• Generating the relevant administrative records and reports.
• Introducing and integrating new technologies into existing environments.
• Applying operating system updates, patches, and configuration changes.
• Adding, removing, or updating user account information, resetting passwords, etc.
• Answering technical queries
• Maintaining the configuration of the system.
• To implement Service Request and Change Request
• Contacting OEM/Vendor for technical support

Requirement

• Possess Degree/Diploma in Computer Science/Electronics/IT or equivalent
• Minimum 1 year of relevant working experience in IT infrastructure operation
• Able to perform 12 hours shift working

Interested candidates, please click on “Apply Now”. Alternatively, you may email us detailed resume to [email protected]

Tempserv Pte Ltd

License No : 06C3745

Consultant In-Charge: Daniel Lee / EA Personnel No: R1989151

Job Responsibilities:

• Collate large, complex data sets from diverse data sources
• Responsible for data preparation, data mining, to generate and identify opportunities through analytics.
• Perform exploratory data analysis and provide rapid iterations to refine issues and identify potential solutions
• Interpret and effectively communicate analytical findings and insights to both technical and non-technical stakeholders, facilitating data-driven decision-making
• Play a role in advancing data science infrastructure, tools, and frameworks to enhance efficiency in data analysis, experimentation, and model deployment
• Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards

Job Requirements:

• Master’s / Bachelor’s Degree in a quantitative discipline (e.g., statistics, biomedical informatics, computer science, applied mathematics, or similar), with 3 years of relevant experience
• Possessed experience with Python, R, or similar programming languages
• Working knowledge of data analysis tools and databases
• Strong analytical skills, with experience solving problems using data and providing practical business insights
• Comfortable with dealing with sets of data points from different sources
• Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders

To apply, please visit www.gmprecruit.com and search for Job Reference: 24105

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Responsibilities:

• Overseeing data projects, operations and initiatives regionally in both Commercial and Medical areas
• Overseeing analytics operations in the region in alignment with global data operations/engineering teams
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• Lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Oversee region data security and compliance
• Manage relationships with Technology heads from each countries, including business and commercial teams and global support teams

Requirements:

• Bachelor Computer Science / Computer Engineering, or equivalent experience.
• At least 10 years of established experience in a relevant technology role, especially in data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams
• Clear and influential communication skills with the ability to work effectively with both internal and external stakeholders.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24078

To apply, please visit www.gmprecruit.com and search for Job Reference: 24058

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Contract: 1 year
Location: Tuas (bus pickup at JE)
Working Hours: Mon-Fri office hour
Pay: $2200 - 2600

Job scope
• Accurately and efficiently encode all data that needs organizing and recording
• Confirm that entered data accurately aligns with original documentation
• Organize and maintain original paper evidence
• Assure files are properly prepared and saved to backup drives
• Transcribe, scan or photocopy hard copy documents and forms as needed
• Self-audit your work checking for errors or duplication
• Organize files in a logical and manageable fashion
• Adhere to and meet set schedules and deadlines
• Input, track, and maintain all encoded data and records
• Report any major errors or inconsistencies to upper management
• Maintain report logs of in-progress and/or completed work
• Perform any other office tasks that management requires assistance with (sending emails, answering phones, etc.)

Job requirement
• Min. Dip in Science
• Comfortable to travel to West
• Able to commit 1 year
• Proficient in Microsoft Excel

If interested, please email me at [email protected]
➖
Alex Goh Hock Leong
(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

Job Scope

EDMS (Electronic Document Management System): (Main Mission)

a. Link EDMS to SAP functional locations

b. Uploading manually technical documentation on Hard drive to SharePoint EDMS

c. Improve the searching function in EDMS for vendor data books & test reports, by splitting the documents into smaller pieces.

Requirements

• 'A' level / Poly undergraduate / University undergraduate / 'O' level with 5 years of admin experience
• Proficient in excel.
• Good in Microsoft 365 environment (excel, sharepoint, Teams) is an added advantage
• Good communication skills
• Knoweldge of SAP is advantageous

Embark on a Career That Impacts Lives

Are you a university student in Singapore looking to jumpstart your career path, or seeking a dynamic role in a fast-growing industry? The role as a Financial Advisor offers the perfect blend of flexibility, entrepreneurial spirit, and unlimited earning potential. Join us and explore a fulfilling career in financial consultancy.

Key Responsibilities:

· Financial Strategy Development: Assess clients’ financial situations to devise strategies that meet their financial goals.

· Insurance and Financial Advice: Provide guidance on insurance and financial planning in areas like retirement, education, and investments using our comprehensive product suite.

· Client Relationship Management: Regularly review and follow up with clients to adapt their financial plans to life changes.

· Financial Analysis: Prepare and interpret financial summaries, investment reports, and income projections for clients.

· Client Network Building: Establish and maintain strong relationships with a growing client base.

Benefits & Rewards:

1. Tailored Training: Gain essential certifications and skills through structured courses, with ongoing support from dedicated managers.

2. Funding Programme: Benefit from our corporate financing scheme, supporting you in the first 24 months of your career.

3. Attractive Rewards: Experience our 'work hard, play hard' ethos, with incentives for top performers.

4. Flexible Income Structure: Earn uncapped income through a multilayered incentive system, including commissions, performance incentives, annual bonuses, and exclusive incentive trips.

Qualifications:

· Obtained a poly diploma, JC cert or degree in any field.

· Driven by results and motivated by performance-based rewards.

· Strong interpersonal skills with a passion for empowering others financially.

Ideal for University Students / Fresh Entry / Mid-Career:

· Flexible Working Hours: Perfectly suitable for balancing studies and work.

· Entrepreneurial Experience: Learn how to manage and grow your own business even while studying.

· Mentorship from Success Stories: Be guided by mentors who began their successful careers as students, including one who earned S$90K/month during their days at NUS.

· Embark on this journey to not just build a career, but to make a meaningful impact. Apply now and shape your future while shaping others!

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus and AWS

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Summary:

• Project involves Subscriber Data Management (SDM) involving the HLR, HSS and UDM and a backend repository.
• The Engineer will be involve in testing and analysing the results of the test.
• The Engineer needs to have certain experience in the System, well verse in the protocols; diameter, SS7/MAP and http etc.
• Project will be on contract under agency (3 - 6 months , Extendable)

Key Responsibilities:

• Installation, commissioning, vertical and horizontal integration, operations support of Subscriber Data Management Network Elements
• Support and lead witness testing during UAT along with Customer.
• Creating detailed MOP (Method Of Procedure) documents for planned changes in customer platform, reviewing and validating MOP internally and with customer to get customer approval.
• Execution MOPs on customer platform during designated maintenance windows (including night time if required).
• Troubleshoot, diagnose, and suggest/perform corrective or preventative maintenance actions on issues reported by customers. Provide in depth investigation of critical escalated issues.
• Use and apply Integration and Support processes, policies & tools documentation.
• To support the successful integration of new systems, products, services and validation campaigns to assure the quality of the deliveries through technical and commercial launch
• Maintain high level of customer satisfaction by providing services fully compliant with the SLA.
• Ensure every customer reported issue is properly documented for tracking purposes and learning opportunities.

Requirements:

• Bachelor’s degree in Electrical Engineering, Telecommunication or Computer Science or related field.
• 3 years of progressive experience as Subscriber Data Management Engineer in telecommunication industry

Please submit your resume via APPLY NOW

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

EA License No. 01C4394

REG No :R1105286 (Ngiam Xinyi)

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.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Responsibilities:

• Ensure business operations are following applicable laws and corporate guidelines.
• Conduct investigation and due diligence check on company practices.
• Ensure company practices are adhere to relevant standards.
• Identify, address and resolve business operational issues arise
• Provide business compliance support to sales department and work cross functionally to ensure compliance.
• Stay up to date with trends & latest practices and inform stakeholders and management.
• Oversee the company's business and sales operations.
• Generate data analysis reports for managers to aid in strategic decision-making.
• Implement the risk audit team's recommendations.
• Enhance and include pertinent business conduct and rules initiatives.
• Provide training programmes based on the company's rules of conduct and values.
• Provide guidelines and ensure internal and external stakeholders are following the company's conduct, policies, guidelines, and ethical standards.
• Create and implement procedures for tracking and evaluating adherence.
• Ad hoc duties assigned.

Requirements:

• Bachelor in Business Administration, Finance, Risk Management, Audit or equivalent.
• At least 3 - 5 years of business compliance with data analysis skills.
• Able to work independently will be an added advantage.

Interested candidates who wish to apply for the advertised position, please send in your resume to [email protected].

EA License No: 13C6305

Reg. No.: R24120209

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Responsibilities

• To achieve sales targets in the Power Generation business unit for the data center industry in APAC
• Lead and prepare quotations for emergency backup solutions.
• Execute defined growth measures, country strategies, key deals, and life cycle analyses specifically aimed at growing market share in the data center industry.
• Support network management, sales engineering, order management, controlling, and R&D by providing necessary information.
• Prepare market strategic decisions to grow business in associated countries with internal and external partners.
• Provide specifications and requirements to the application team for engineering matters; utilize computerized engineering tools, databases, and technical library information for sales work.
• Follow up on orders with customers and internal departments, suppliers, and contractors

Requirements:

• Degree in Business Administration or Electrical Engineering.
• Minimum of 5 years of sales experience in the data center industry or emergency power generation business.
• Strong sales track record from lead to quote to order to completed project & installations.
• Knowledge in Data Center infrastructure market (ASEAN Countries) & technicalities.
• Good communication, interpersonal skills, and team management.

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

The Head of Data serves as both the business and technical authority responsible for overseeing the comprehensive management and utilization of data, encompassing its architecture, governance, collection, analysis, and strategic application to enhance business value.

The range of duties includes:

1. Assume leadership of the data teams, consolidating the efforts of the data engineering, audience, and data governance teams.
2. Advance our data strategy and advocate for data-driven decision-making to attain pivotal business objectives.
3. Assist in formulating and enforcing protocols for data collection, storage, management, documentation, quality assurance, and security.
4. Supervise the establishment and upkeep of the organization's data lake, leveraging existing data resources to derive business insights, visualize information, and address challenges.
5. Identify prospects to enhance data by integrating it with information from partnerships or external sources.
6. Adopt a proactive stance in aiding business leaders in exploring new revenue avenues through more efficient and innovative data utilization.
7. Spearhead experimental data modeling initiatives within the company. Conduct A/B tests to assess alterations in the company's products and services.
8. Monitor business performance vis-à-vis data analysis models and track trends in key business key performance indicators (KPIs), furnishing pertinent departments with valuable insights to enhance overall business performance.

Required Skills and Knowledge:

• Demonstrated expertise in data/big data management, leadership, overseeing data teams and projects. Experience in constructing data lakes and executing end-to-end deployment of data science models is advantageous.
• Solid background in business, mathematics, or data science and analytics is essential.
• Experience in media, marketing, or consumer businesses is beneficial.
• Proficiency in BI best practices/methodologies, encompassing reporting tools, querying tools, data analytics methodologies, and data visualization.

Required Competencies:

• Proficient in SQL and adept in reporting techniques, with competency in data analytics tools such as R and/or Python.
• Hands-on experience with Big Data technologies like Spark, ProtoBuf, DBT, etc.
• Familiarity with AWS and proficient usage of tools like AirFlow, Kafka, Docker & Kubernetes.
• Exceptional communication skills.
• Adept at team-building, results-oriented, proactive, and self-driven.
• Possesses a creative and strategic mindset, innovative problem-solving abilities, and strong organizational skills.
• Capable of managing multiple simultaneous tasks, prioritizing effectively, meeting tight deadlines, and maintaining composure during times of uncertainty and stress.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

Job Description

e2i’s Career Centre is one of the key national nodes where jobseekers seek new opportunities and work towards being employed and employable. We are currently building our career and jobs centre operation team. Specific to the role, as a Specialist, you will be an integral part of the Career Centre operations, which runs the day-to-day activities and events of the career centre.

Your responsibilities include:

• Harmonizing processes across all career and jobs centres
• Have good understanding of the current employment landscape and the openness to find out more about current employability trends
• Ensuring that our data from various data sources are managed well, the collection process is streamline and accurate
• Prepare information in a reporting format for sharing with management to make decisions which will impact the lives of jobseekers who use our services
• You would need some experience dealing with clients as you would also liaise with internal and external stakeholders on career centre related queries
• Willing to be deploy to do career centres check at different touchpoints
• Able to work across-teams to manage events/activities deployment and tracking of masterlist
• Assisting in the cleaning and keying of data, and tracking of clients’ cases into case management system
• Creating solutions for process improvement in the provision of career services

Job Requirements

• Driven, result oriented and able to work independently.
• High proficiency in using systems, Microsoft Office tools, such as PowerPoint & Excel to analyse & present data.
• Meticulous, innovative and able to adapt to change – in the workplace and employment landscape.
• Team player with strong interpersonal, writing and communication skills.
• Able to relate to all levels of jobseekers/working people and cultivate a strong relationship with partners and stakeholders on career services matters.
• Able to work in a fast-paced environment and deliver the work within tight deadlines.

Only Singaporeans may apply.

Designation and salary will commensurate with experience.

We will only contact shortlisted candidates

Key Responsibilities:

• Installation, commissioning, vertical and horizontal integration, operations support of Subscriber Data Management Network Elements
• Support and lead witness testing during UAT along with Customer.
• Creating detailed MOP (Method Of Procedure) documents for planned changes in customer platform, reviewing and validating MOP internally and with customer to get customer approval.
• Execution MOPs on customer platform during designated maintenance windows (including night time if required).
• Troubleshoot, diagnose, and suggest/perform corrective or preventative maintenance actions on issues reported by customers. Provide in depth investigation of critical escalated issues.
• Use and apply Integration and Support processes, policies & tools documentation.
• To support the successful integration of new systems, products, services and validation campaigns to assure the quality of the deliveries through technical and commercial launch
• Maintain high level of customer satisfaction by providing services fully compliant with the SLA.
• Create and maintain customer relationship on a day-to-day basis, e.g., communication, information gathering, operational review, escalation and reporting. Provide appropriate follow-up to customers.
• Engage additional support level within a predefined time frame and collaborate with them, as needed, in order to resolve the issues (internal and external escalations).
• Ensure every customer reported issue is properly documented for tracking purposes and learning opportunities.
• Ensure time tracking accuracy for cost charging purposes.
• Understand the service metrics, thresholds, and key performance indicators used to govern the ticket resolution process.
• Use the knowledge management tool by searching/creating/updating articles. Proactively share knowledge.

Required:

• Bachelor’s degree or foreign equivalent in Electrical Engineering, Telecommunication or Computer Science or related field.
• 3 years of progressive experience as Subscriber Data Management Engineer in telecommunication industry

Interested candidate please click on the following link to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile. <Insert GO job URL here>

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

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• NURUL ATIKA BINTE KASSIM • REG Number R1986508

Job Responsibilities:

• To oversee data projects, operations and initiatives in the Great China & Intercontinental region in both Commercial and Medical areas
• To be able to support and partner in country data operations and engineering leads
• To oversee analytics operations in the region in alignment with global data operations/engineering teams
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• To lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Maintain high level of customer service with business and commercial leads

Job Requirements:

• With at least 10 years of established experience in a technology role
• Bachelor Computer Science / Computer Engineering, or equivalent experience
• Proven data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams

To apply, please visit www.gmprecruit.com and search for Job Reference: 24081

To learn more about this opportunity, please contact Yi Fang at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Law Yi Fang | Registration No: R1113115

Responsibilities:

• Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.
• Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data,and prepare the data for analysis, reporting, or machine learning tasks.
• Contribute to common frameworks and best practices in code development, deployment,and automation/orchestration of data pipelines.
• Implement data governance in line with company standards.
• Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.
• Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).
• Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

Must haves

• Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.
• Extensive experience designing data solutions including data modelling is required.
• Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.
• Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.
• Experience working with both real-time and batch data is important.
• Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.
• Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.
• Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have

• Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain,Customer Interaction, etc. is highly desirable.
• Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.
• Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

• Proficient in working with various types of databases such as but not limited to, Microsoft SQL, MySQL, Oracle, PostgreSQL, Amazon RDS and Aurora.
• Responsible for administrating databases hosted in both on-premises and cloud environment such as but not limited to Microsoft Azure, Amazon Web Service, Google Cloud Platform and Alibaba Cloud, in terms of provisioning and managing database instances, setting up replication and high availability, and monitor database performance.
• Inspect and confirm database backup is valid, database cronjobs and inform respective job owner on any job failure.
• Monitor and perform rectification to issues found in system logs, error logs and dump files, table spaces to detect those reaching threshold, objects reaching max extents and increase extents if required.
• Regular inspection on database objects, database schemas, database links, database users to verify if those inactive ones are required. Housekeeping of logs & dump files to control utilization of storage space.
• Monitor for database locks and remove invalid session threads, database and listeners to be up and running at high availability.
• Monitor for processes consuming CPU or virtual memory or with disk I/O higher than threshold values.
• Provide necessary assistance in shutting down and starting up databases for the periodic system maintenance done during off-peak hours.
• Perform database patching at indicated time, patching is to be tested successfully in test environment prior to applying in production.
• Assist with immediate critical security patching at indicated time, patching is to be tested successfully in test environment prior to applying in production.
• Provide investigation into reported issues suspected to be caused by database and perform remediation.
• Provide support such as execution of database scripts, object deployment, database user management.
• Perform database refresh from production to test environment.
• Conduct reporting on the database health check, growth, and activities with recommendation for tuning of database to improve performance.
• Provide listing on reported issues indicated with SLA compliances.
• Work with database supplier to rectify issues related to the core product.
• Test changes to database in a test environment prior to applying in production.
• Maintain proper, relevant, and updated documentation of managed databases including design, setup configuration, performance tuning changes, troubleshooting-specific procedures and required reports.

Certifications:

• Microsoft Certified Azure Database Administrator
• Oracle Certified Professional
• MySQL Database Administrator
• CompTIA DataSys+ or CompTIA Data+

Qualifications:

• At least six months (to one year) work experience in a database administrator role.
• At least has prior work experience or project deployment with cloud databases.

The Opportunity

• Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
• They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.

Job Responsibilities

Inside the team, the successful candidate will:

• Will work 50% on Data Archival & Masking topic remaining 50% on Java related technologies
• Implement Archival & Data Masking solution defined by Product Expert
• Prepare and maintain technical documentations and software deliverables
• Knowledge on java development is preferred
• Execution of Morning checks on existing Archiving & Data masking processes on production
• L3 support for Data Archival & Data masking and Other Java projects

Job Qualification

• The position requires 4+ years relevant experience in developing Archiving & Data Masking solutions.

Mandatory

• 4+ years experience in SQL for various Database engines ( SQL Server, Oracle, Sybase, and preferably DB2 )
• Understanding of database architectures, data relationship integrity, database administration, test data management, and the normalization of data elements
• Willingness to work on Java applications as well
• Experience with IBM's Optim products for Archiving & Data Masking is preferred (if not willingness to learn IBM Optim is must - on job training will be provided)
• Willingness to work with IDP USignOn product is must (on job training will be provided)

Nice to Have

• Experience in development of Java application

Other Professional Skills and Mind-set

• Ability and willingness to learn and adopt new technologies
• Strong organizational and communication skills
• Strong analytical and problem solving skills
• Awareness of various software development procedures
• Ability to follow defined procedures
• Understanding and respect of cultural diversity

Next Step

Click “apply” or send resume to: Tamanna Bilandi [email protected]

EA Licence No.91C2918 | Personnel Registration No. R2096241

Responsibilities:

• Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.
• Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.
• Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.
• Implement data governance in line with company standards.
• Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.
• Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).
• Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

Must haves

• Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.
• Extensive experience designing data solutions including data modelling is required.
• Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.
• Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.
• Experience working with both real-time and batch data is important.
• Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.
• Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.
• Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have

• Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.
• Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.
• Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.