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Data Engineer
Impetussangli, India9 days ago
Job descriptionAWS Cloud Services : Familiarity with S3, Redshift, Lambda, EMR is an advantage. ETL Development : Understanding of ETL processes and data engineering principles. Version Control : Experience using Git for collaborative development. Big Data Tools : Exposure to Hive, PySpark , or similar technologies. Develop and optimize Python scripts for data processing and automation. Write efficient Spark SQL queries for handling large-scale structured data. Assist in ETL pipeline development and maintenance. Support data validation and integrity checks across systems. Collaborate with teams to implement cloud-based solutions (AWS preferred). Optimize performance of data queries and workflows. Troubleshoot and debug issues in existing applications. Document processes and ensure best practices in coding and data handling.
Job Description
Required Skills :
- Python Programming : Strong ability to write clean and efficient code.
- Spark SQL : Good understanding of Spark SQL for distributed data processing.
- Data Processing : Experience with large datasets and structured data manipulation.
- SQL Fundamentals : Ability to write queries and optimize database performance.
- Problem-Solving : Analytical mindset to debug and optimize workflows.
Preferred Skills :
Roles & Responsibilities
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Data Engineer • sangli, India
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