Description

You will design, develop, and maintain scalable ETL/ELT data pipelines and data solutions.

This role is on-site.

Responsibilities

• Build and manage data lakes, warehouses, and marts for batch and real-time processing.
• Create data ingestion frameworks from databases, APIs, files, and streaming sources.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Implement data quality checks, monitoring, and error handling mechanisms.
• Collaborate with data architects, scientists, and analysts to deliver secure data solutions.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong proficiency in Python, SQL, and PySpark.
• Hands-on experience developing ETL/ELT pipelines.
• Experience with cloud data platforms (Azure, AWS, or GCP).
• Knowledge of data lakes, data warehouses, and data integration concepts.
• Understanding of data quality, performance optimization, and data workflows.

Preferred Skills

• Experience with real-time data processing architectures.
• Background in data quality frameworks and monitoring tools.

Key Skills

Education

Any Graduate