AWS Data Engineer

Title: AWS Data EngineerExp:- 5+ yearsWork timings :- 2 to 11 PMHybrid model weekly 3 days at office.Location :- Chennai, Hyderabad, Pune, Bangalore

JD:-

Primary Skills: Python, Pyspark, Glue, Redshift, Lambda, DMS, RDS ,Cloud Formation and other AWS serverlessStrong exp in SQL

Detailed JD

Seeking a developer who has good Experience in Athena, Python code, Glue, Lambda, DMS , RDS, Redshift Cloud Formation and other AWS serverless resources. Can optimize data models for performance and efficiency. Able to write SQL queries to support data analysis and reporting Design, implement, and maintain the data architecture for all AWS data services. Work with stakeholders to identify business needs and requirements for data-related projects Design and implement ETL processes to load data into the data warehouse Good Experience in Athena, Python code, Glue, Lambda, DMS, RDS, Redshift, Cloud Formation and other AWS serverless resourcesDesign and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3.Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes.Create and manage applications using Python, SQL, Databricks, and various AWS technologies.Automate repetitive tasks and build reusable frameworks to improve efficiency.Skill Proficiency Level expectedAWS Data Engineer - AWS Glue, Amazon Redshift, S3Expert with 8.5 to 10+ years of hands-on experienceETL Process , SQl, Databricks