AWS Data Engineer

Job Description

Job Title: AWS Data Engineer Location: Bangalore (Hybrid) Experience: 3?5 years https://datazymes.ai/about About Us DataZymes is a data-driven company committed to empowering organizations with actionable insights through advanced analytics and business intelligence solutions. Join our growing team that values innovation, collaboration, and excellence . Key Responsibilities Design and implement scalable data pipelines using AWS services such as S3, Glue, PySpark, and EMR . Develop and maintain robust data transformation scripts using Python and SQL . Optimize data storage and retrieval using AWS database services like Redshift, RDS, and DynamoDB . Build and manage data warehousing layers tailored to specific business use cases. Apply strong ETL and data modeling skills to ensure efficient data flow and structure. Ensure high data quality, availability, and consistency to support analytics and reporting needs. Collaborate with data analysts and business stakeholders to understand requirements and deliver actionable insights. Required Qualifications Bachelor?s or Master?s degree in Computer Science, Information Technology, or related field . Hands-on experience with AWS data services such as S3, Glue Studio, Redshift, Athena, and EMR . Strong proficiency in SQL and Python for data processing. Experience with batch job scheduling and managing data dependencies. Preferred Skills Expertise in data warehousing, ETL frameworks, and big data processing . Familiarity with the pharmaceutical domain is a plus. Experience with data lake architecture and schema evolution . Note This is not a DevOps-focused role . Candidates with backgrounds primarily in infrastructure automation, CI/CD pipelines, or system administration will not be a fit unless they have significant experience in data engineering and AWS data services .