AWS services and tools related to data engineeringincluding GlueLambdaDockerFargateECSBatchStep FunctionsCloudFormationPythonSQLPySpark
Work Authorization
US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Employment Type
Consulting/Contract
education qualification
UG :- - Not Required
PG :- - Not Required
Other Information
No of position :- ( 1 )
Post :- 22nd Apr 2025
JOB DETAIL
Lead and mentor a team of data engineers, providing technical guidance and support.
Collaborate with cross-functional teams including product, data science, and engineering to design and implement robust data solutions.
Work closely with stakeholders to understand business requirements and translate them into technical specifications.
Design, architect, and implement scalable and efficient data pipelines using AWS services such as Glue, Lambda, Docker, Fargate, ECS, Batch, and Step Functions.
Utilize AWS CloudFormation for infrastructure as code to automate deployment processes.
Lead the development and implementation of data models and data architecture to support business needs.
Ensure data quality, integrity, and security standards are met across all data solutions.
Utilize strong programming skills in Python, SQL, and PySpark to develop and optimize data processing workflows.
Manage and maintain databases including Redshift, RDS Aurora Postgres, and DB2.
Implement CI/CD pipelines using Jenkins to automate testing and deployment.
Implement best practices for data management, ETL processes, and data warehousing.
Stay up-to-date with the latest industry trends and best practices in data engineering and AWS technologies.
Identify areas for improvement and drive initiatives to enhance data infrastructure and processes.
Foster a culture of continuous learning and improvement within the team.