Data Engineer

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title : Data Engineer

Key Skills : Data Engineer , Python , PySpark/Spark, SQL, AWS

Job Locations : Pan India

Experience : 6 - 8

Education Qualification : Any Graduation

Work Mode : Hybrid

Employment Type : Contract

Notice Period : Immediate - 10 Days

Payroll : people prime Worldwide

4+ years of experience in cloud data engineering or related roles.

Strong proficiency in AWS services including DMS, SCT, S3, Lambda, Glue, Redshift, RDS, Event Bridge, API Gateway, IAM.

Experience with Python, Spark/PySpark , SQL and PostgreSQL.

Hands-on experience with Terraform, Liquibase, and Bitbucket.

Familiarity with ancillary AWS services like Secrets Manager, KMS, etc.

Excellent problem-solving and communication skills.

AWS Certification (e.g., Solutions Architect, Data Analytics) is a plus.Design and implement data migration strategies using AWS DMS and AWS SCT.

Develop and maintain ETL pipelines using AWS Glue, Spark/PySpark, and Python.

Architect and manage data storage solutions using AWS S3, AWS RDS, and AWS Redshift.

Integrate and orchestrate services using AWS Lambda, AWS EventBridge, and AWS API Gateway.

Ensure secure access and governance using AWS IAM, Secrets Manager, and KMS.

Automate infrastructure deployment using Terraform and manage database versioning with Liquibase.

Collaborate with development teams using Bitbucket for source control and CI/CD.

Optimize PostgreSQL databases for performance and scalability.

Monitor and troubleshoot data workflows and cloud infrastructure.