Data Engineer

Role & responsibilities

• Develop, optimize, and maintain data pipelines using PySpark and SQL
• Write efficient, scalable, and reusable code for large-scale data processing
• Perform data extraction, transformation, and loading (ETL) activities
• Work with structured and semi-structured datasets
• Optimize queries and improve performance for large datasets
• Collaborate with cross-functional teams to understand data requirements
• Ensure data quality, validation, and integrity across systems
• Troubleshoot and resolve data-related issues

Preferred candidate profile

• Strong hands-on experience in SQL (advanced queries, joins, subqueries, optimization)
• Solid coding experience in PySpark
• Good understanding of data processing concepts and ETL workflows
• Familiarity with distributed data processing concepts
• Strong analytical and problem-solving skills
• Ability to write clean, maintainable, and scalable code
• Good communication and teamwork skills