Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : PySpark, AWS Glue
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the solutions you develop are effective and scalable. You will also monitor and optimize existing data processes to enhance performance and reliability,



making data accessible and actionable for stakeholders.
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and provide innovative solutions to enhance data accessibility and usability.
We are looking for skilled Data Engineer to join data migration project. In this developer-focused role, you will build and optimize ETL pipelines to migrate and transform data from legacy on-prem systems to AWS, leveraging native AWS transformation technologies
Key Responsibilities
Implement end-to-end ETL pipelines using AWS native services like Step Function, EventBridge, Glue (PySpark, SQL), and Lambda for data extraction, tran

📌 Data Engineer (Pune)
🏢 Accenture
📍 Pune