Job Title

Data Engineer, AWS We're looking for a skilled Data Engineer with 5+ years of experience to join our team. You'll play a crucial role in building and optimizing our data infrastructure on AWS, transforming raw data into actionable insights that drive our business forward. What You'll Do: Design & Build Data Pipelines: Develop robust, scalable, and efficient ETL/ELT pipelines using AWS services and Informatica Cloud to move and transform data from diverse sources into our data lake (S3) and data warehouse (Redshift). Optimize Data Models & Architecture: Create and maintain performant data models and contribute to the overall data architecture to support both analytical and operational needs. Ensure Data Quality & Availability: Monitor and manage data flows, ensuring data accuracy, security, and consistent availability for all stakeholders. Collaborate for Impact: Work closely with data scientists, analysts, and business teams to understand requirements and deliver data solutions that drive business value. What You'll Bring: 5+ years of experience as a Data Engineer, with a strong focus on AWS. Proficiency in SQL for complex data manipulation and querying. Hands-on experience with core AWS data services:Storage: Amazon S3 (data lakes, partitioning). Data Warehousing: Amazon Redshift. ETL/ELT: AWS Glue (Data Catalog, crawlers). Serverless & Orchestration: AWS Lambda, AWS Step Functions. Security: AWS IAM. Reports: Looker and Power Bi Experience with big data technologies like PySpark. Experience with Informatica Cloud or similar ETL tools. Strong problem-solving skills and the ability to optimize data processes. Excellent communication skills and a collaborative approach. Added Advantage: Experience with Python for data manipulation and scripting. Looker or PowerBi experience is desirable If interested, please share your updated resume with me at . I’ll get back to you shortly with next steps. Current CTC Expected CTC Notice Period Looking forward to connecting!