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5 days ago
Note : If shortlisted, you will be invited for initial rounds on 8th November'25 (Saturday) in Hyderabad
Description :
- Migrate and optimize existing data pipelines from Snowflake to Databricks.
- Develop and maintain efficient ETL workflows using PySpark and SQL.
- Design scalable and performance-optimized data processing solutions in Databricks.
- Troubleshoot and resolve data pipeline issues, ensuring accuracy and reliability.
- Work independently to analyze requirements, propose solutions, and implement them effectively.
- Collaborate with stakeholders to understand business requirements and ensure a seamless transition.
- Optimize Spark performance tuning for large-scale data processing.
- Maintain proper documentation for migrated pipelines and workflows.
Required Qualifications :
- Proficiency in Python, SQL, and Apache Spark (PySpark preferred).
- Experience with Databricks and Snowflake, including pipeline development and optimization.
- Strong understanding of ETL processes, data modeling, and distributed computing.
- Ability to work independently and manage multiple tasks in a fast-paced environment.
- Hands-on experience with orchestration tools (e.g., Airflow, Databricks Workflows).
- Familiarity with cloud platforms (AWS) is a plus.
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