Data Engineer

Key Responsibilities

• Design, build, and maintain scalable data pipelines
• Develop ETL/ELT processes for data integration and transformation
• Work with large datasets from multiple sources
• Optimize database and data processing performance
• Support data warehousing and reporting requirements
• Ensure data quality, governance, and security standards

Required Skills

• Strong experience in SQL and Python
• Hands-on experience with ETL tools and data pipelines
• Experience with cloud platforms (AWS/Azure/GCP)
• Knowledge of big data technologies (Spark, Hadoop, Kafka)
• Experience with data warehouses (Snowflake, Redshift, BigQuery, etc.)
• Understanding of data modeling and database concepts
• Familiarity with orchestration tools like Airflow is a plus