Total 3,992 data entry clerk job vacancies in Information Technology category in Singapore

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 5 years of experience in a role focusing on data pipelines.
• Experience in building on data platforms (e.g. Snowflake,Redshift, Databricks).
• Proficient in SQL and Python.
• Experience in Continuous Integration and Continuous Deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design and implement solution and perform code review.
• Agile and fast learner and able to adapt to change.
• Experience in building on data transformation frameworks (e.g. dbt, Dataform).
• Cloud environments (e.g. AWS, GCP, Azure).
• Big data technologies (e.g. Spark).
• Data platform migration.
• Experience in ETL tools (such as Informatica), and data virtualization platforms such as Denodo is preferred.
• Provide BAU support for production job monitoring,issue resolution, bug fixes.
• Work closely with data stewards, data analysts and business end users to implement and support data solutions.
• Responsible for requirement gathering, design and development, SIT testing, support UAT and CICD deployment for enhancement and new ingestion pipeline.
• Ensure compliance with IT security standards, policies, and procedures

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on data pipelines.
• Experience in building on data platforms (e.g. Snowflake,Redshift, Databricks).
• Proficient in SQL and Python.
• Experience in Continuous Integration and Continuous Deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design and implement solution and perform code review.
• Agile and fast learner and able to adapt to change.
• Experience in building on data transformation frameworks (e.g. dbt, Dataform).
• Cloud environments (e.g. AWS, GCP, Azure).
• Big data technologies (e.g. Spark).
• Data platform migration.
• Experience in ETL tools (such as Informatica), and data virtualization platforms such as Denodo is preferred.
• Provide BAU support for production job monitoring,issue resolution, bug fixes.
• Work closely with data stewards, data analysts and business end users to implement and support data solutions.
• Responsible for requirement gathering, design and development, SIT testing, support UAT and CICD deployment for enhancement and new ingestion pipeline.
• Ensure compliance with IT security standards, policies, and procedures

About Avensys:

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a “Data Engineer”. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Location: Singapore

Job Type: 1 year contract

Responsibilities:

· Creating complex, enterprise-transforming applications on diverse, high energy teams

· Working with the latest tools and techniques

· Hands-on coding, usually in a pair programming environment

· Working in highly collaborative teams and building quality code

· The candidate must exhibit a good understanding of model implementation, data structures,

data manipulation, distributed processing, application development, and automation.

· The candidate must have a good understanding of consumer financial products,

data systems and data environments, and processes that are necessary for the

implementation of Risk and Finance models

Essential Skills & Prerequisites

· Degree in computer science or a numerate subject (e.g.engineering, sciences, or mathematics) or Bachelor's/Master degree with 6 years of experience

· Hand-on Development experience with PySpark, Scala,Spark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Desired

· A Bachelor’s degree or higher preferably in Computer Science or IT

· Additional experience on developing service-based application

· Excellent analytical skills: Proficient in MS Office and able to produce board-level documentation

· Fluency in written and spoken English;Good communication and interpersonal skills

· Self-starter who sets and meets challenging personal targets, Detailed person, with a big picture outlook

· Understanding of current technologies employed by Tier 1 Investment Banking Institutions

· Must be a team player

Mandatory Skills

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

Qualification

• Any Degree – CS / IT background / relevant

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Vasuki Kumar

Avensys Consulting Pte Ltd

EA License 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.

Responsibilities:

•Work with Business Stakeholders, Project Managers and Technology teams to assist in the implementation and maintenance of data projects.

•Work with business stakeholders to understand business requirements and translate business requirements into data requirements.

• Conduct data mapping workshops with technology teams and business stakeholders to source for required data.

•Create validation datasets for business stakeholders to ensure requirements are met.

•Provide ETL team with clear understanding of data mapping and discuss on potential code optimisation.

•Work with business stakeholders to produce data quality rules.

•Engage with both business and technology stakeholders during testing, driving defect investigation and resolution.

•Support change requests by assessing impact on downstream processes and driving required changes in mapping.

•Support documentation of data-related artefacts required for compliance with data governance.

Experience / Skills

• Good communication skills and experience in collaborating with different team members from business and technology.

•Good understanding of enterprise applications, business processes and business requirement analysis.

•Analytical, detail-oriented, ability to manage timelines and adapt to project needs.

•Work experience in regulatory reporting projects such as IFRS 4, IFRS 17, BCBS 239 etc. is added advantage.

• Advanced proficiency in SQL, or any other data querying language.

•Advanced proficiency in Microsoft Excel.

•Proficient knowledge of Tableau, Power BI, or other business intelligence tools.

Qualification

•Degree in Maths / Statistics / Analytics/ Technology/ Business or a relevant discipline

• 3 to 5 years of experience in a business analyst or data analyst role working with business stakeholders

• Working experience in at least one project related to business intelligence, reporting or data warehousing.

• Having 1 or more of the following experiences:

o Working knowledge in database and system design

o Working knowledge about querying data, data visualization and data analysis

o Performed in the role of a business analyst in analytics or reporting capacity

Job description and Requirements (In Detail):

Requirements:

• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Job Description & Requirements

Analyst: Involves completing detailed analysis of complex data, systems or ideas and providing reports and recommendations. May also involve day-to-day data management in company software applications

Standard II: Professional who applies acquired job skills, policies, and procedures to complete substantive assignments, projects and tasks of moderate scope and complexity; exercises judgment within defined guidelines and practices to determine appropriate action. • Senior I: Experienced professional who knows how to apply theory and put it into practice with in-depth understanding of the professional field; independently performs the full range of responsibilities within the function; possesses broad job knowledge; analyzes problems or issues of diverse scope and determines solutions.

Senior II: Professional leader with a high degree of knowledge in the overall field and recognized expertise in specific areas; problem-solving frequently requires analysis of unique issues or problems without precedent and/or structure. May manage programs that include formulating strategies and administering policies, processes, and resources; functions with a high degree of autonomy.

JOB SPECIFIC RESPONSIBILITIES -Data Management and Governance; Implement data architectures and models; data integration processes and best practices; perform master- & metadata management; data stewardship; data quality management; maintain data definitions; data lineage; data dictionaries; and business rules; publication; knowledge management; user training and support.

SKILLS Analytical Skills; Accuracy & Attention to Detail; Numerical Skills; Planning & Organizing Skills; Presentation Skills; IT Technical Skills; Database Programming Skills; Data Modeling Skills

Education: Bachelors’ degree or equivalent in Computer Science, MIS, or similar discipline. Language: Proficiency in English. Accreditation: Specific business accreditation for Data Management

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

You report to Data Analytics team head of DEC.

Role of Data Engineer encompasses:

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

- Visualize, interpret, and report data findings and may create dynamic data reports as well.

- Maintain existing BI solutions / ETL pipelines and propose continuous improvements

- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution

- Ability to design appropriate solution in compliant to CACIB standards

- Develops detailed technical work plans, estimates, improvement plans and status reports

- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs

- Ensure the respect of CACIB code of conduct and compliance rules within the team

- Contribute to initiatives managed at department level (continuous improvement, innovation…)

Preferred (additional skills preferred, but not mandatory)

- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.

- experience on test driven development

- experience with Data Visualization tools

Job Qualification

In a challenging and multicultural environment, we seek a motivated and skilled Senior Data Engineer to join our Data Analytics team. Data Analytics team is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance, etc). Data Analytics team deliver solutions primarily based on Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank data strategy.

This position requires a candidate with,

• at least a bachelor degree in computer studies
• minimum 8 years of experience in Data Engineering role with financing industry, ideally in a banking environment
• at least 5 years of development experience with using Microsoft Business Intelligence stack coveringTabular Analysis Service
  Data warehousing
  Performance tuning
  Data transformations and quality checks
  Power BI dashboarding and reporting
  
• good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps
• ability to design and present technical solutions to architects and to team
• proactive and problem solving attitude with ability to anticipate risks.
• strong communication (written and verbal) and organizational skills

Next Step

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

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

Mandatory Skills

Key Responsibilities

· Creating complex, enterprise-transforming applications on diverse, high energy teams

· Working with the latest tools and techniques

· Hands-on coding, usually in a pair programming environment

· Working in highly collaborative teams and building quality code

· The candidate must exhibit a good understanding of model implementation, data structures,

data manipulation, distributed processing, application development, and automation.

· The candidate must have a good understanding of consumer financial products,

data systems and data environments, and processes that are necessary for the

implementation of Risk and Finance models

Essential Skills & Prerequisites

· Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics)

or Bachelor's/Master degree with 6 years of experience

· Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Desired

· A Bachelor’s degree or higher preferably in Computer Science or IT

· Additional experience on developing service-based application

· Excellent analytical skills: Proficient in MS Office and able to produce board-level

documentation

· Fluency in written and spoken English; Good communication and interpersonal skills

· Self-starter who sets and meets challenging personal targets, Detailed person, with a big

picture outlook

· Understanding of current technologies employed by Tier 1 Investment Banking Institutions

· Must be a team player

Mandatory Skills

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

Mandatory Skills

Key Responsibilities

· Creating complex, enterprise-transforming applications on diverse, high energy teams

· Working with the latest tools and techniques

· Hands-on coding, usually in a pair programming environment

· Working in highly collaborative teams and building quality code

· The candidate must exhibit a good understanding of model implementation, data structures,

data manipulation, distributed processing, application development, and automation.

· The candidate must have a good understanding of consumer financial products,

data systems and data environments, and processes that are necessary for the

implementation of Risk and Finance models

Essential Skills & Prerequisites

· Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics)

or Bachelor's/Master degree with 6 years of experience

· Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Desired

· A Bachelor’s degree or higher preferably in Computer Science or IT

· Additional experience on developing service-based application

· Excellent analytical skills: Proficient in MS Office and able to produce board-level

documentation

· Fluency in written and spoken English; Good communication and interpersonal skills

· Self-starter who sets and meets challenging personal targets, Detailed person, with a big

picture outlook

· Understanding of current technologies employed by Tier 1 Investment Banking Institutions

· Must be a team player

Mandatory Skills

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

Job Title: Data Analyst

Job description (In Detail):

Requirements:

• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/.When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Location: Lavender/Bendemeer

Working Day: 5 Days (Mon - Fri) Overtime is required.

Working Hour: 8.15am - 5.30pm

Salary : $3000 - $3500

Requirements

• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.
• Minimum Bachelor's Degree in any field

Job Summary

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Company’s own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all BtoB marketing initiatives

https://wa.me/6596420989

WhatsApp: +65 9642 0989 (Han)

Email: [email protected]

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

Permanent, 5 days, Eunos

Our client:

A reputable M & E infrastructure company that design, build n maintain data Centres n company server room

Job scope

Building M&E infrastructure Technical n operation

· Able to troubleshoot and carry out repair work for M&E Infrastructures services in Data Center

· Manage Technical Operation Team’s day-to-day operations (Exp: repair work, routine servicing, maintenance & T&C processes)

· To liase with n manage customer’s expectation

Department budget

· Manage department resources to ensure continuous smooth operations

· Manpower management

· Monitor and conduct review on department manpower competency level

• Ensure continuous training/improvement plan is in place across the technical team

Quality control

· Conduct quality checks on works completed

· Ensure regular review of equipment refresh for customers

Safety:

· Ensure compliance with Health, Safety, Environmental and Assurance regulations

Requirements

· Min Diploma in Mechanical & Electrical or relevant discipline

· 5 years of relevant working experience with at least 2 years in managerial position

· M&E technical knowledge or operation or both

· Fire Safety Manager certified

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

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

The creation of the EDHEC Singapore Infrastructure Investment Institute springs from the past 4 years of research on infrastructure investment at EDHEC-Risk Institute and the continuous support of the Monetary Authority of Singapore in supporting cutting hedge research that can bring new and valuable knowledge to institutional investors, asset managers and regulators. Based in Singapore, EDHEC infra aims to create a global repository of financial knowledge and investment benchmarks about infrastructure equity and debt investment, with a focus on delivering applied research in finance for investors in infrastructure. We aim to deliver the best available estimates of financial performance and risks of reference portfolios of privately held infrastructure investments, and thus provide investors with important insights about their strategic asset allocation choices to infrastructure, as well as support the adequate calibration of the relevant prudential frameworks. EDHEC infra benefits from unparalleled access to the financial data of infrastructure projects and firms, especially private data, that is either unavailable to market participants or too cumbersome and difficult to collect and aggregate. We also bring advanced asset pricing and risk measurement technology designed to answer investors’ information needs about long-term investment in privately held infrastructure, from asset allocation to prudential regulation and performance attribution and monitoring.

EDHEC Singapore Infrastructure Investment Institute, part of EDHEC Business School 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 (ACCA).

The position

This is an opportunity for motivated intern with a foundational understanding of accounting, finance or economics majors to foster an in-depth knowledge in the disclosures of infrastructure and private equity funds. This role will involve

· The identification collection and categorization of accounts data from the business registries for infrastructure funds.

· Assist with a desktop survey to identify key reporting outcomes (ESG disclosures, asset valuation methodologies).

· Assist with other data collection activities.

Requirements:

· 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 relevant information.

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

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

· Proficiency in a European language would be advantageous.

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

Role & Responsibilities

· Understand project’s functionalities and data, in relations to the corresponding clinical workflow and processes

· Ensure that IT teams adhere to the data contribution requirements and there is no known clinical safety issue arising from these data

· Communicate effectively with internal and external stakeholders to effect resolution of issues to enable successful data on-boarding

· Be meticulous in reviewing the key notes and outcome documented in the data mapping specification with respective IT teams, for their implementation

· Support Operation team in assessing potential implication to the project due to data related production issues and provide feedback on the IT teams’ resolution approach

· Review and provide feedback on interface specification to ensure design adhere to industry practice and standards

· Being a leader

o Understand team members learning needs, and encourage and plan for their professional growth

o Review and propose improvements to process and procedures

o Understand the project’s big picture, the stakeholders, and the upcoming changes to the health sector application landscape, to better anticipate and plan for potential issues

· Provide regular progress status to Data Integration Lead

Requirements

· Degree in Computer Science or Information Systems

· Strong analytical ability and communication skills

· Good team player with positive attitude and pleasant personality

· Self-motivated and dedicated in producing quality work

· Resourceful, adaptable and creative at problem solving

· Knowledge of web services (SOAP, REST) is preferred

· Proficient in SQL, C# .NET, Java application and database development is preferred

· At least 5 years of experience in data integration projects is preferred

· At least 1 year of experience with supervision of team

Please click "Apply Now" should you be interested to proceed with the job application.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502

Registration No: R1331697

EAP Name: James Andalan

Responsibilities:

1. Drive analytic projects for all pillars of the banks treasury and markets department, such as bond analytics, news generation FX trading signals and customer hyper-personalization.
2. Create appropriate data visualisations, utilising PowerBI, Tableau and other appropriate tools like Python for effective storytelling.
3. Utilize advanced statistical and machine learning methods to derive insights and predictions from large volumes of transactional, operational and customer data.
4. Create predictive ML models to provide recommendations to front office traders and dealers.
5. Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.
6. Participate in Generative AI (GenAI) and Document AI (DocAI) initiatives for news recommendation, customer pitch generation and market data collation.
7. Perform hypothesis testing and experimentation to discover causal drivers for customer and market behaviours.

Required Experience:

• Bachelor/masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.
• Working knowledge in data visualization tools such as PowerBI, Tableau or equivalent
• Expert working knowledge and hands-on experience using Python and SQL.
• Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs
• Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.
• Excellent verbal and written communication skills to explain insights from technical work to non-technical audience through presentation or other means.
• Experience working with unstructured data (text, images, audio) and application of NLP/ Computer Vision techniques and deep-learning and transformer models.

EA License Number : 11C4879

Mandatory Skills

Key Responsibilities

· Creating complex, enterprise-transforming applications on diverse, high energy teams

· Working with the latest tools and techniques

· Hands-on coding, usually in a pair programming environment

· Working in highly collaborative teams and building quality code

· The candidate must exhibit a good understanding of model implementation, data structures,

data manipulation, distributed processing, application development, and automation.

· The candidate must have a good understanding of consumer financial products,

data systems and data environments, and processes that are necessary for the

implementation of Risk and Finance models

Essential Skills & Prerequisites

· Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics)

or Bachelor's/Master degree with 6 years of experience

· Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Desired

· A Bachelor’s degree or higher preferably in Computer Science or IT

· Additional experience on developing service-based application

· Excellent analytical skills: Proficient in MS Office and able to produce board-level

documentation

· Fluency in written and spoken English; Good communication and interpersonal skills

· Self-starter who sets and meets challenging personal targets, Detailed person, with a big

picture outlook

· Understanding of current technologies employed by Tier 1 Investment Banking Institutions

· Must be a team player

Mandatory Skills

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

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

Job Description

· •Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· •Development and implementation experience of applications for 4-6 years.

· •4 to 6 years' experience designing and developing in Python.

· •4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Job Description

· •Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· •Development and implementation experience of applications for 4-6 years.

· •4 to 6 years' experience designing and developing in Python.

· •4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

JOB DESCRIPTION

At Keppel, data drives our decisions. Technology is at our core. And innovation is everywhere.

Keppel is looking for a data-savvy professional to join our team. As a Senior Data Engineer, you will be working with partners throughout the company to ensure we have high-quality data to power our business in all departments. Decisions for every part of our business -- from the front-end experience to performance marketing to partner products -- are driven by our data via various enterprise apps. Your challenge will be to make sure we can apply our data even more effectively to support business decisions and improve our products. You Will Be Part of The Data & Digital Team.

Responsibilities
As a Senior Data Engineer, you will be in charge of the development, performance, quality, and scaling of our data pipelines, with a special focus on data quality. You will work independently and will also be responsible for making technical decisions within a team.

Important Aspects of The Job Include

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
• Supporting the legacy systems while we build the next gen Data Ecosystems to support the business.
• Solving issues with data and data pipelines, prioritizing based on customer impact.
• End-to-end ownership of data quality in our core datasets and data pipelines.
• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
• Providing tools that improve Data Quality company wide.
• Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
• Acting as an intermediary for problems, with both technical and non-technical audiences.

JOB REQUIREMENTS

We are looking for driven Data Engineers who enjoy solving issues, who initiate solutions and discussions, and who believe that any challenge can be scaled with the right demeanor and tools.

The ones that fit us best are the people who match the following requirements:

• Proven experience of at least 5 years in the field, using 1 or more server-side programming languages -- preferably Java, Scala, Python, Perl, etc.
• Proven experience of minimum 5 years with SQL, HQL, CQL, etc.
• Experience with building scalable data pipelines with technologies such as Glue, ADF, Kafka, Spark, HBase, AzureSQL, DBT etc.
• Strong Experience in Data Modeling, Data warehousing / ETL tools
• Experience using Snowflake & DBT is a plus
• Experience with a cloud platform (AWS, Azure)
• Understands and can develop streaming processing applications using technologies like Kafka-Streams, Spark-Streaming, etc.
• Experience of working on systems on large scale.
• Good understanding of basic analytics and machine learning concepts.
• Preferably a university degree in Computer Science.
• Excellent communication, written and spoken.

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming