Senior Data Engineer

Azure Data Engineer | Bangalore, Pune, Hyderabad, Chennai, Gurgaon

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About the Role

Azure Data Engineer

Key Responsibilities

• Develop scalable ETL/ELT pipelines and data ingestion workflows.
• Design data models (ER, star schema, Kimball methodology).
• Build and optimize SQL queries (DDL, DML, query tuning).
• Work hands-on with Azure Synapse, ADF, Azure Data Lake, Databricks, and Snowflake.
• Automate data processing using Python or Java.
• Collaborate with business and technical teams on data-driven strategies.

Must-Have Skills

• SQL (DDL, DML, performance tuning).
• Python or Java for data engineering.
• Azure Synapse, ADF, Data Lake, Databricks, Snowflake.
• Strong knowledge of data modelling.
• Excellent communication & presentation skills.
• (Optional) Financial services domain knowledge.

Nice-to-Have Skills

• DevOps & CI/CD (Git, Jenkins, Docker, automated deployments).
• Streaming data (Spark, Kafka, event-driven architectures).
• Data governance, compliance & security frameworks.
• Exposure to AWS data solutions (Glue, Redshift, Athena).

Why Join Us?

• Hybrid model – flexibility with 2 days in office.
• All interviews conducted virtually.
• Opportunity to work with cutting-edge Azure & Snowflake data platforms.

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