Role: AWS Data Engineer 

Experience Range: 6 to 10 Years

Work Location: Bangalore / Chennai / Kochi / Trivandrum

Key Role:

§  The ideal candidate will have a strong background in optimizing computing performance and running data pipelines on the AWS cloud.

§  You will be responsible for developing ETL processes, deploying DBT models into AWS Redshift, and automating CI/CD pipelines using Jenkins.

§  The goal for this role is to set the foundational data models inside of AWS Redshift Serverless and create the pipelines for transformations from a git repository to deployment.

Responsibilities:

§  Design and implement scalable data solutions using AWS services (Lambda, Kinesis, S3, Glue, Redshift, RDS, SageMaker).

§  Develop and optimize ETL processes to reduce data processing time and storage costs.

§  Set up and manage Jenkins CI/CD pipelines for automated deployment of dbt models.

§  Write and maintain scripts in Python & SQL for data integration and automation.

§  Develop data models, dictionaries, and data warehouses to improve data accuracy and retrieval. Collaborate with cross-functional teams and mentor junior engineers.

§  Analyze and troubleshoot data quality issues and monitor performance of data integration processes.

§  Design secure AWS environments using CloudFormation templates with the UST IAM team.

§  Qualifications:

§  Proficiency in AWS services and cloud infrastructure management.

§  Strong programming and scripting skills (Python, SQL).

§  Experience with CI/CD tools, particularly Jenkins.

§  Excellent problem-solving and debugging skills.

§  Proven track record in optimizing data pipelines and reducing operational costs.

§  Strong collaboration and communication skills.

Preferred Skills:

§  Experience with dbt and deploying models into AWS Redshift.

§  Knowledge of data warehousing concepts and best practices.

§  Airflow/Other Orchestra experience Familiarity with version control systems (e.g., Git).