Share your resume over [email protected]

Required Skills:-

Python
Apache Airflow
AWS Services (S3, Glue, EMR, Redshift)
Data Warehousing & Data Modelling
Fivetran & API Integrations
Kafka, SQS, EventBridge
ETL/ELT Pipelines
Cloud Data Engineering

Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and Airflow.
- Build and optimize data solutions on AWS using S3, Glue, EMR, and Redshift.
- Develop real-time and batch data processing frameworks.
- Integrate data from multiple sources using APIs, Fivetran, and other integration tools.
- Implement data warehousing and data modelling best practices.
- Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
- Collaborate with architects, analysts,



and business teams to deliver high-quality data solutions.
- Ensure data security, governance, and compliance standards are maintained.

What We're Looking For
- 4 to 8 years of experience in Data Engineering.
- Solid hands-on expertise in Python, Airflow, and AWS data services.
- Experience with data integration, ETL/ELT pipelines, and cloud data platforms.
- Good understanding of data warehousing concepts and data modelling.
- Experience with Kafka, SQS, EventBridge, and large-scale data processing is preferred.
- Strong problem-solving and communication skills.

📌 AWS Data Engineer (Hyderabad)
🏢 Coforge
📍 Hyderabad