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Job Title


AWS Data Engineer


Company : Coforge


Location : New delhi, Delhi


Created : 2026-03-21


Job Type : Full Time


Job Description

We are Hiring AWS Data Engineer at Coforge Ltd.We are looking for AWS Data Engineer with a strong technology background and hands-on experience working in an enterprise environment, designing, and implementing data warehouses, data lakes, and data marts for large financial institutions.In this role you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS).In this role you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS) along with Modern Data Stack containing Snowflake Data Platform and Starburst Data Virtualization tool for Semantic Layer Build out.Successful candidates will possess in-depth knowledge of current and emerging technologies and demonstrate a passion for designing and building elegant solutions and for continuous self-improvement.Job Location: Hyderabad, Pune & Greater Noida.Job Requirements:• 5+ Years of experience working as a Data Engineer, with a focus on building data pipelines and processing large datasets.• 2+ years of experience with Snowflake Data Platform is highly desirable. Exposure to Data Virtualization Platforms (Starburst, Denodo) is a plus.• 3+ Years of experience in Informatica ETL tool for building data pipelines.• 5+ Years of Strong proficiency in AWS services, including AWS Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions and Lambda.• 5+ Years of Expertise in Hive QL, Python programming, experience with Spark, Python, Scala and Spark for big data processing and analysis.• Solid understanding of data modeling, database design, and ETL principles.• Experience working with data lakes, data warehouses, and distributed computing systems.• Familiarity with data governance, data security, and compliance practices in cloud environments.• Strong problem-solving skills and the ability to optimize and fine-tune data pipelines and Spark jobs for performance.• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.• AWS certifications on Data related specialties are a plus.Share your CV: