AWS Data Engineer

Overview

Job Title: AWS Data Engineer

Employment Type: 6-Month Contract (Extendable)
Experience Level: 8-12 Years
Location: Remote (India)

About the Role

We are seeking an experienced AWS Data Engineer to join our team for a challenging and rewarding contract opportunity. The ideal candidate will bring expertise in AWS services, ETL pipelines, and big data processing while ensuring seamless client management and delivery.

Key Responsibilities

• Design and develop robust, scalable, and efficient ETL workflows using AWS Glue and PySpark.
• Manage, configure, and optimize EMR clusters for large-scale data processing.
• Implement and troubleshoot serverless computing solutions using AWS Lambda.
• Perform data migrations with AWS DMS, ensuring accuracy and consistency across datasets.
• Collaborate with clients and stakeholders to understand requirements and deliver high-quality solutions.
• Monitor, troubleshoot, and fine-tune data pipelines for performance and reliability.
• Document workflows and processes to support ongoing operational efficiency.

Required Skills and Expertise

• AWS Services: Glue, EMR, Lambda, DMS
• Programming and Frameworks: PySpark
• ETL Processes: End-to-end workflow design and optimization
• Strong experience in client management and handling technical project deliverables

Job Types: Full-time, Contractual / Temporary
Contract length: 6 months

Pay: ?100,000.00 - ?200,000.00 per month

Experience:

• total work: 10 years (Preferred)
• AWS Glue: 8 years (Preferred)
• Pyspark: 8 years (Preferred)
• EMR systems: 8 years (Preferred)
• ETL: 8 years (Preferred)
• AWS: 7 years (Preferred)

Work Location: Remote