We are looking for a Data Engineer with 3+ years of experience in Python/PySpark, SQL, Data Warehousing, and Azure ETL to build scalable and reliable data pipelines.
Key Responsibilities
- Develop and maintain data pipelines using Python/PySpark .
- Build ETL/ELT solutions using Azure Data Factory, Data Lake, Blob Storage, Databricks, Synapse, and Azure SQL .
- Write complex SQL queries, stored procedures, and transformations .
- Collaborate with business and technical teams to deliver data solutions.
- Troubleshoot data and pipeline issues and follow engineering best practices.
- Use Git, Azure DevOps, and Jira for development and project tracking.
Required Skills
- 3+ years of experience in Data Engineering/Data Warehousing .
- Robust Python/PySpark and SQL skills.
- Hands-on experience with Azure data services and ETL .
- Good understanding of data integration and data warehousing .
- Strong analytical, problem-solving, and communication skills.
Preferred
- Azure Databricks/Spark experience.
- Azure Data Engineer certification is a plus.
Role: Data Engineer | Employment: Full-Time, Permanent Education: B.Sc./BCA/B.Tech/B.E. or any Postgraduate degree
Required Skills
Azure Data factory SQL ETL Azure Databricks Azure Devops
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Data Engineer II (Bengaluru)
🏢 Inxiteout
📍 Bengaluru
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