5–8 yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Own design and implementation of scalable batch and streaming data pipelines using Azure Databricks and related Azure services.
- Develop and maintain reusable, configuration-driven Python frameworks for data transformation and orchestration.
- Ensure data quality, governance, and performance optimization across data lakehouse layers including Bronze, Silver, and Gold architectures.
Minimum Requirements
- 5-8 years of relevant work experience in data engineering or related field.
- Strong hands-on experience with Azure Databricks technologies including Databricks Lakehouse Architecture, Delta Lake, Unity Catalog, and streaming ingestion tools like Azure Event Hubs and Spark Structured Streaming.
- Proficiency in Python, PySpark, and SQL for data engineering and pipeline development.
- Experience with relational data modeling, CDC, SCD Type 2, and operational data storage solutions such as PostgreSQL (Lakebase).
Ideal Candidate Profile
- Experienced data engineer with deep expertise in Azure Databricks ecosystems and real-time data ingestion frameworks.
- Skilled in building modular, metadata-driven frameworks indicating capability to handle complex configurable business logic.
- Strong operational focus on data quality, governance, and performance optimization in enterprise-scale data lakehouse environments.