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Senior Engineer Azure Databricks
Ahvi InfotechBangalore Urban, Karnataka, India29 days ago
Job descriptionSQL 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.
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 :
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Engineer Azure • Bangalore Urban, Karnataka, India