AWS Data Engineer

Job Description

About the job 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 : AWS, Python,PySpark,AWS Athena,AWS Redshift,AWS Glue,ETL pipeline,Data Modeling Job Locations : PAN INDIA Experience : 8-9 Years Education Qualification : Any Graduation Work Mode : Hybrid Employment Type : Contract to Hire Notice Period : Immediate - 10 Days Job Description: Lead Data Management Strategy Define and execute the data management vision, strategy, and best practices, ensuring alignment with Storables business goals and objectives. Oversee Data Pipelines: Design, implement, and maintain scalable data pipelines using industry-standard tools to efficiently process and manage large-scale datasets. Ensure Data Quality & Governance, Implement data governance policies and frameworks to ensure data accuracy, consistency, and compliance across the organization. Manage Cross-Functional Collaboration - Partner with engineering, product, and business teams to make data accessible and actionable, and ensure it drives informed decision-making. Optimize Data Infrastructure: Leverage modern data tools and platforms. AWS, Apache Airflow, Apache Iceberg to create an efficient, reliable, and scalable data infrastructure. Technical Proficiency : Strong hands-on experience with data tools and platforms such as Apache Airflow, Apache Iceberg, and AWS services s3, Lambda, Redshift, Glue Data Pipeline Mastery Familiarity with designing, implementing, and optimizing data pipelines and workflows in Python or other languages for data processing Experience with Data Governance: Solid understanding of data privacy, quality control, and governance best practice Show more Show less