Data Engineer

Job title- AWS Data engineer Total Exp - 3 to 15 yrs Location- PAN India Work Mode-Hybrid Notice Period- Immediate Joiners to 30 days Job Summary We are looking for an experienced AWS Data Engineer to design, develop, and optimize scalable data solutions on the AWS cloud platform. The ideal candidate should have strong expertise in building ETL/ELT pipelines, developing cloud-based data platforms, and delivering high-quality data solutions to support analytics and business intelligence. Roles & Responsibilities Design, develop, and maintain scalable data pipelines on AWS. Build and optimize ETL/ELT workflows for structured and unstructured data. Develop data processing solutions using Python, PySpark, and SQL. Work with AWS Glue, Amazon S3, and Amazon Redshift to build data lake and data warehouse solutions. Optimize data pipelines for performance, scalability, and reliability. Collaborate with business stakeholders, Data Analysts, and application teams to understand data requirements. Ensure data quality, governance, and security across the data platform. Troubleshoot production issues and provide ongoing support for data pipelines. Participate in code reviews, technical discussions, and solution design. Mentor junior engineers and contribute to best practices where applicable. Primary Skills AWS (S3, Glue, Redshift) Python PySpark SQL ETL/ELT Development Data Warehousing Apache Spark Good to Have Airflow Kafka Snowflake CI/CD Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. AWS Certification is an added advantage. Show more