AWS Data Engineer
Barclays · Pune · Posted 2026-07-18
Tech stack: AWS, Python, SQL
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About the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Responsibilities:
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Qualifications:
- Hands on experience in python and pyspark and strong knowledge on Dataframes, RDD and SparkSQL
- Experience in using Orchestration tools such as Apache Airflow or Snowflake
- Hands on Experience in developing, testing and maintaining applications on AWS Cloud.
- Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)
- Design and implement scalable and efficient data transformation/storage solutions using Snowflake.
- Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc
- Experience in Writing advanced SQL and PL SQL programs.
- Experience in AWS data pipeline development.
- Hands On Experience for building reusable components using Snowflake and AWS Tools/Technology
- Should have worked at least on two major project implementations.
- Experience in using Orchestration tools such as Apache Airflow or Snowflake
- Knowledge on Abinitio ETL tool is a plus
- Ability to engage with Stakeholders, elicit requirements/ user stories and translate requirements into ETL components
- Ability to understand the infrastructure setup and be able to provide solutions either individually or working with teams.
- Good knowledge of Data Marts and Data Warehousing concepts.
- Resource should possess good analytical and Interpersonal skills.
- Implement Cloud based Enterprise data warehouse with multiple data platform along with Snowflake and NoSQL environment to build data movement strategy.
- You may be assessed on 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.
- This role is based in Pune.
Qualifications
- Hands on experience in python and pyspark and strong knowledge on Dataframes, RDD and SparkSQL
- Experience in using Orchestration tools such as Apache Airflow or Snowflake
- Hands on Experience in developing, testing and maintaining applications on AWS Cloud.
- Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)
- Design and implement scalable and efficient data transformation/storage solutions using Snowflake.
- Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc
- Experience in Writing advanced SQL and PL SQL programs.
- Experience in AWS data pipeline development.
- Hands On Experience for building reusable components using Snowflake and AWS Tools/Technology
- Should have worked at least on two major project implementations.
- Knowledge on Abinitio ETL tool is a plus
- Ability to engage with Stakeholders, elicit requirements/ user stories and translate requirements into ETL components
- Ability to understand the infrastructure setup and be able to provide solutions either individually or working with teams.
- Good knowledge of Data Marts and Data Warehousing concepts.
- Resource should possess good analytical and Interpersonal skills.
- Implement Cloud based Enterprise data warehouse with multiple data platform along with Snowflake and NoSQL environment to build data movement strategy.
- You may be assessed on 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.
- This role is based in Pune.
Responsibilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
- Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.