Data Engineer (ETL Solutions)

Responsibilities

• Analyze existingTalend ETL jobsand design equivalentSpark-based pipelines.
• Migrate and optimize data workflows from Talend to Spark (PySpark/Scala).
• Collaborate with data architects to define scalable data lake/lakehouse solutions.
• Developer for data-warehousing, ETL and BI projects in Informatica IDMC and Databricks.
• Responsible for all technical development work and support the leads on technical design and systems impact analysis.
• Integrate Spark pipelines with cloud platforms (AWS, Azure, GCP).
• Work with orchestration tools (Airflow, Databricks Jobs, etc.) to schedule and monitor workflows.

Skills/Requirement

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent
• Minimum 5 years of experience in data solutions, data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
• Understanding and hands on experience in all phases of project lifecycle & has implementation involvement in at least 4 project cycles.
• Solid understanding of ETL, data warehousing conceptsandSQL.
• Familiarity withcloud services(AWS EMR, Azure Databricks, GCP DataProc).

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