 
						Data Engineer
3 days ago
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: AWS 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. Roles & Responsibilities 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.
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