AWS Data Engineer - Hyderabad

Job description

Share your resume over Aarushi.Shukla@Coforge.Com 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.