Key Skills: Azure, Python, SQL, Data Warehouse, Data Bricks, Teradata, Pyspark
Roles and Responsibilities:
- Gather and analyze business requirements and translate them into data engineering deliverables.
- Design and implement new data sources, warehouse changes, and import/export processes.
- Develop and maintain SQL-based data processing logic and database procedures.
- Build proof-of-concepts and support functional validation with business teams.
- Investigate complex data issues and improve existing data processing workflows.
Skills Required:
- 3 to 5 years of experience in data engineering, data processing, or data warehousing roles.
- Solid hands-on experience with SQL, Teradata, and data warehouse concepts.
- Experience with Azure-based data platforms and Databricks in enterprise environments.
- Ability to work with large datasets, warehouse structures, and data processing logic.
- Experience with ETL workflows, database procedures, and version control tools.
Good to Have:
- PySpark, Unix/Linux, Python libraries such as Numpy and Pandas, and Agile/Scrum exposure.
Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
📌 Data Engineer (Bengaluru)
🏢 MyCareernet
📍 Bengaluru
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