AWS Data Engineer - Hyderabad

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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.
• Strong 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.