Sr Analyst – Data Engineering

Years of Experience 2 to 5 Years

 Development & Testing: Develop, unit test, and
maintain efficient ETL/ELT pipelines and software
applications using the client’s technology stack.
 Data System Building: Contribute to the build-out of
data systems, databases, and data warehouses, ensuring
compliance with data governance guidelines.
 Stakeholder Collaboration: Collaborate with cross-
functional stakeholders to understand immediate business
requirements and turn them into scalable data assets.
 Support & Maintenance: Monitor performaance,
troubleshoot pipeline issues, optimize standard SQL
queries, and ensure smooth data ingestion cycles.

 Problem Solving & Delivery: Actively contribute to
overall project delivery, demonstrating strong analytical,
communication, and collaborative team skills.

Skills

Primary Skills: Strong SQL, Python, PySpark, Data Warehousing
Concepts, Hadoop Concepts (HDFS, Hive), ETL Data Pipelines.
Secondary Skills: Airflow / Task Scheduling, Spark, Cloud
Fundamentals (AWS / Azure / GCP), Exposure to AI/GenAI tools
for code optimization.