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Data Engineer

PricewaterhouseCoopers

Singapore

On-site

SGD 60,000 - 80,000

Full time

3 days ago
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Job summary

A leading consulting firm in Singapore is seeking a Data Engineer to develop ETL strategies and data models. The ideal candidate will have experience with Azure Data Factory and strong SQL skills. Join a diverse team to drive transformative projects and deliver quality outcomes.

Qualifications

  • 3 to 5 years of development experience with ETL tools.
  • Strong command of SQL and ability to write stored procedures.
  • Experience with cloud platforms and data visualization dashboards.

Responsibilities

  • Develop ETL strategy and logic.
  • Conduct analysis for analytics use cases.
  • Optimize ETL logic and validate data during UAT.

Skills

Data engineering
SQL
ETL development
Analytical reasoning
Communication

Education

Diploma / Bachelor’s degree in Information Systems
Bachelor’s degree in Computer Science
Bachelor’s degree in Engineering

Tools

Azure Data Factory
AWS Glue
SSIS
SSAS
Databricks
Python
C#
PowerShell
Selenium

Job description

Job Description & Summary

We believe that challenges are best solved together. That’s why, when you join us, you become part of a diverse and global community of problem-solvers. You'll find an unexpected mix of people who bring their unique expertise to build trust in society and tackle important issues. Here, we welcome and encourage you to lead with value and inspiration, question and challenge assumptions, as well as embrace new opportunities to deliver quality outcomes in exciting and unexpected ways, all with the support of technology.

At PwC South East Asia Consulting, we help businesses to work smarter and grow faster. We partner with our clients to build effective organisations, innovate and grow, reduce costs, manage risk and regulation, and leverage talent. Our aim is to support businesses in designing, managing, and executing lasting beneficial change.

PwC’s South East Asia Consulting practice provides a comprehensive range of professional services and experience to deliver large-scale, cross-territory transformation projects, wherever our clients need us to be – from strategy through to execution.

Responsibilities
  • Develop ETL strategy and ETL logic.
  • Conduct analysis of requirements for analytics use cases to determine the data mapping required.
  • Develop data models from conceptual to logical and physical, or support the leader to design the data model.
  • Drive conversations with customer project team members to obtain the outputs required for ETL development.
  • Develop unit test scripts, system integration test scripts, and user acceptance test scripts.
  • Conduct QA on ETL results performed by other data engineers in the team.
  • Optimize ETL logic that has been developed.
  • Responsible for testing and validating data during UAT.
  • Fix ETL code issues and perform regression testing.
About you
  • Diploma / Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field or foreign equivalent from a recognized university.
  • Experience with Databricks.
  • At least 3 to 5 years of development experience with Azure Data Factory, AWS Glue, SSIS, and SSAS.
  • Strong command of SQL, ability to write stored procedures, SSIS, T-SQL from scratch.
  • Strong analytical skills and attention to detail.
  • Ability to work independently and meet strict timelines without continuous supervision.
  • Knowledge of TDD, testing concepts, and test automation tools such as Selenium is advantageous.
  • Experience with cloud platforms (Azure/AWS) and configuration.
  • Programming experience with Python, C#, PowerShell.
  • Good to have experience in designing and building data visualization dashboards.
  • Experience in consulting and working with business and technical stakeholders is desirable.
  • Candidates with team management experience will be considered for a Team Lead role.
Additional Information

Degrees/Field of Study preferred: relevant degrees in related fields.

Certifications: not specified.

Required Skills: Data engineering, cloud platforms, SQL, ETL development, testing, programming.

Optional Skills: Feedback acceptance, analytical reasoning, business data analytics, communication, creativity, inclusion, learning agility, performance management, and more.

Travel Requirements: Not specified.

Work Visa Sponsorship: Yes.

Government Clearance: Yes.

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