Data Engineer: Azure Data Lakes, Warehouses & PySpark
DELTA SG CONSULTING
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Job summary
DELTA SG CONSULTING is seeking a data engineering professional to design and implement data lakes and warehouses, leveraging Microsoft Fabric or Azure Data Factory, and Informatica Cloud IDMC. You will work on Azure data services, Python/pyspark scripting, and data modelling for transactional and analytical systems, with client-facing responsibilities and strong communication skills.
The role requires 3–5 years of relevant experience, a client-oriented mindset, and a systematic problem-solving
Qualifications
- Degree in Computer Science, Engineering and/or Master in Data Engineering /Mathematics, Computational Finance
- 3 to 5 years of relevant functional/technical experience
- Working experience in client support and implementation of data engineering solutions
- An action-oriented personality
- Keen client orientation
- Systematic problem solver with critical thinking abilities
- Strong presenter and effective communicator
- Collaborative team
Responsibilities
- End-to-end development of data lakes and data warehouses
- Collaborate with clients on data engineering solutions
- Participate in data modelling and performance tuning
- Provide clear demos and presentations to stakeholders
Skills
Education
Tools
Job description
DELTA SG CONSULTING is seeking a data engineering professional to design and implement data lakes and warehouses, leveraging Microsoft Fabric or Azure Data Factory, and Informatica Cloud IDMC. You will work on Azure data services, Python/pyspark scripting, and data modelling for transactional and analytical systems, with client-facing responsibilities and strong communication skills.
The role requires 3–5 years of relevant experience, a client-oriented mindset, and a systematic problem-solving
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