Data Engineer

Job Summary:
The Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and ETL workflows to ensure efficient data flow across systems. This role focuses on enabling reliable and scalable data infrastructure to support analytics, ML, and business intelligence initiatives.

Key Responsibilities:

• Develop and maintain scalable ETL/data pipelines to process structured and unstructured data.
• Optimize data storage and retrieval across databases and cloud data warehouses.
• Collaborate with data scientists and analysts to ensure data availability and quality.
• Implement data validation, transformation, and integration across multiple sources.
• Monitor and improve data pipeline performance and reliability.

Required Skills & Qualifications:

• Proficiency in SQL and Python for data manipulation and automation.
• Experience with cloud data platforms (AWS Redshift, Google BigQuery, Azure Synapse, etc.).
• Strong understanding of data modeling, data warehousing, and ETL frameworks.
• Experience with workflow orchestration tools (Airflow, Prefect, or Luigi) is a plus.
• Bachelor’s degree in Computer Science, Data Engineering, or related field.

Job Types: Full-time, Contractual / Temporary

Pay: From ₹800,000.00 per year

Experience:

• data engineering: 4 years (Required)
• ETL: 4 years (Required)
• Cloud computing: 4 years (Required)
• Data Pipelines: 4 years (Required)

Work Location: Remote