Data Engineer

Data Engineer (4–9 yrs) - Role Overview:

Build data pipelines and scalable data platforms.

Key Responsibilities:

• Design ETL/ELT pipelines
• Manage data ingestion
• Build scalable processing frameworks
• Ensure data quality & governance
• Optimize storage and retrieval

Required Skills:

• ETL pipelines & ingestion
• SQL, Spark or similar tools
• Cloud platforms (AWS, Azure, GCP)
• Pipeline orchestration & monitoring
• Data warehousing

Good to Have:

• Streaming (Kafka)
• AI/ML data pipelines