AWS Data Engineer
Barclays · Pune · Posted 2026-07-18
Tech stack: AWS, Python
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About the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Responsibilities:
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.
Qualifications:
- Experience in designing & building Astronomer/Airflow DAGs.
- Working knowledge of pySQL, pySpark for data processing.
- Python programming: pandas, boto3, PySpark for data processing.
- Design & Build MI solutions using different AWS Services (S3, EC2, IAM, Glue, Lambda, Step Functions, CloudFormation, ServiceCatalog).
- Design & building Data models/Business Transformations in Snowflake.
- Exposure of GitLab CI/CD for automated deployment to Production environment.
- DBT/Spark for analytics engineering and data transformation.
- Tableau/Power BI for business intelligence and reporting.
- Hands-on experience in setting up finer grain access using Immuta.
- You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
- The location of the role is Pune, IN
Qualifications
- Experience in designing & building Astronomer/Airflow DAGs.
- Working knowledge of pySQL, pySpark for data processing.
- Python programming: pandas, boto3, PySpark for data processing.
- Design & Build MI solutions using different AWS Services (S3, EC2, IAM, Glue, Lambda, Step Functions, CloudFormation, ServiceCatalog).
- Design & building Data models/Business Transformations in Snowflake.
- Exposure of GitLab CI/CD for automated deployment to Production environment.
- DBT/Spark for analytics engineering and data transformation.
- Tableau/Power BI for business intelligence and reporting.
- Hands-on experience in setting up finer grain access using Immuta.
- You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
- The location of the role is Pune, IN
Responsibilities
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.