Data Engineer - AWS Management Tools

Roles and Responsibilities : - The ideal candidate will have 5 to 8 years of experience in data engineering and a strong background in building data pipelines, data warehousing, and data management solutions. - In this role, you will work closely with data scientists, analysts, and other stakeholders to design, build, and maintain scalable and robust data infrastructure. - Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services - DynamoDB, RedShift, Kinesis, Lambda, S3,Glue.- Hands on experience utilizing AWS Management Tools (CloudWatch, CloudTrail) to proactively monitor large and complex deployments. - Experience in analyzing, re-architecting, and re-platforming on-premise data warehouses to data platforms on AWS.- Excellent in Advanced SQL end to end development and Optimization of existing processes - Ability to understand complex python queries and update existing code according to business requirement. - Table Partition mechanism, Types of Partitions, column store index- Maintenance and optimization of existing processes - Requirement gathering and feasibility analysis, design, develop from scratch and deliver - Experience in designing data warehouse/data mart.- Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements - Experience in deploying data pipelines using automated CI/CD approach. - Experience in writing production ready code in Python and test, participate in code reviews to maintain and improve code quality, stability, and supportability. - Ability to write modularized reusable code components. - Proficient in identifying data issues and anomalies during analysis. - Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements (ref:hirist.tech)