T
Trigent Software
Senior Data Engineer
Skills
SQL QueriesBig DataData EngineeringPythonKafkaDatabricksGitHubPySparkAzure
1 month ago
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Important information
Contract type:
Permanent
Location:
Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
16 September 2026
What they need
- 610 years of overall experience in Data Engineering, with a strong focus on Big Data platforms.
- Mandatory hands-on experience with Azure Databricks - this is a core requirement, not optional.
- Strong experience building and managing Data Lake / Lakehouse architectures using Delta Lake.
- Proven expertise implementing Medallion Architecture (Bronze/Silver/Gold) in production environments.
- Strong programming skills in PySpark, Spark SQL, and Python.
- Solid understanding of distributed computing concepts and Spark internals (partitioning, caching, shuffling, optimization techniques).
- Hands-on experience with Azure Data Factory (ADF) for orchestration and data ingestion.
- Experience with Azure Data Lake Storage Gen2 (ADLS) and related Azure data services (Event Hubs, Key Vault etc.).
- Experience with Unity Catalog
- SQL skills and experience with data modeling (dimensional modeling, star/snowflake schemas)(Preferred)
- Experience with CI/CD practices for data pipelines (Azure DevOps, Git, GitHub Actions).
- Familiarity with streaming data pipelines (Structured Streaming, Auto Loader, Kafka/Event Hubs) is a plus.
- Understanding of data quality frameworks, monitoring, and observability tools.
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