Senior Engineer Azure Databricks
4 weeks ago
Position: Senior Engineer Azure databricks
Overall IT experience: 6 to 9 years
Primary Skills: Azure Databricks, PySpark, SQL
Secondary Skills: ADF/Azure Data factory
Work Location: Bengaluru/Hyderabad
Mode of work: Hybrid
Notice Period: 0 to 30 Days
Experience & Expertise:- Total Experience: 6 to 9 years in Cloud Data Engineering.
- Azure Databricks & PySpark: Minimum 3 to 5 years of hands-on experience.
Technical Skills & Responsibilities:
- SQL Expertise:
- Proficient in SQL with 5 to 6 years of experience in complex joins, subqueries, functions, and procedures.
- Strong ability to perform SQL tuning and query optimization independently.
- ETL & Data Processing:
- Design, develop, and maintain ETL pipelines using Databricks, PySpark, and Azure Data Factory (ADF).
- Extract, transform, and load (ETL) data from various sources.
- Optimize and fine-tune existing ETL workflows for performance and scalability.
- Azure Cloud Expertise:
- Hands-on experience in implementing large-scale hosted solutions using Azure ADF, Azure Data Lake Storage, and Databricks.
- Big Data & Streaming:
- Experience working with large datasets.
- Exposure to batch and streaming data processing (good to have).
- Security & Compliance:
- Ability to develop reliable, secure, and compliant data processing systems.
- Collaboration & Independence:
- Work closely with cross-functional teams to support data analytics, reporting, and business intelligence initiatives.
- Self-driven and capable of working independently without support.
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