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Senior Data Engineer
2 weeks ago
Azure Data Engineer | Bangalore, Pune, Hyderabad, Chennai, Gurgaon
Experience:
7–17 Years
Work Mode:
Hybrid (2 days in office)
Interviews:
100% Virtual
Notice Period:
Immediate to 30 days
To Apply: Send your CV to:
About the Role
We are seeking an experienced
Azure Data Engineer
to join our team. You'll design and build large-scale data solutions, optimize pipelines, and work across modern Azure and Snowflake environments while collaborating with stakeholders on strategic data initiatives.
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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