Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Work with large datasets using SQL, Python, and data engineering tools.
• Develop and optimize data models, data warehouses, and databases.
• Work with cloud platforms such as Azure, AWS, or GCP.
• Ensure data quality, performance, security, and reliability.
• Collaborate with Data Scientists, Analysts, Developers, and business teams.

Mandatory Skills:

• Strong SQL and Python
• ETL/ELT and data pipeline development
• Experience with Azure/AWS/GCP
• Data warehousing concepts
• Experience with Spark/PySpark
• Good understanding of databases and data modeling
• Knowledge of Git and CI/CD is an advantage.