Senior Data Engineer
2 weeks ago
Role & responsibilities:Design, develop, and manage data / ETL pipelines using Pyspark, Azure Data Bricks / Azure Data Factory (ADF).Implement and optimize data warehousing solutions using Snowflake cloud data base.Collaborate with cross-functional teams to gather requirements and design scalable data solutions.Monitor and maintain the performance of data pipelines and Snowflake environments.Ensure data quality and integrity through rigorous testing and validation processes.Develop and maintain documentation for data engineering processes and workflows.Troubleshoot and resolve issues related to data pipelines, Snowflake, and Data bricks, ADFStay updated with industry trends and best practices to continuously improve data engineering processes.
Preferred candidate profileMinimum 5+ years hands-on experience in data engineering (modelling, creation, debugging, review)Must have hands-on experience on Pyspark / Python, Databricks / Data factory, Snowflake,Proficient in Snowflake for optimized data warehousing.Strong SQL skills for database management (functions, procedures, etc.)Skilled in building ETL pipelines for data integration and migration from Databricks to snowflakeImplement ETL pipelines with Python and Snowflake SQL (inside/outside data warehouse).Proficient in scripting languages like Python.Knowledgeable in ensuring data quality and governanceExcellent collaboration and communication abilities.Committed to continuous learning in data engineering
Note:Location: Chennai, Bengalore, Pune, Coimbatore.Work time: 2pm to 11pm.Work mode: Hybrid.
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