AWS Data Engineer Job at Barclays (Pune)

AWS Data Engineer

Barclays

Location:
India , Pune ▼
Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Join us as an AWS Data Engineer Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.

Job Responsibility:

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
Engage stakeholders, gather requirements/user stories, and translate them into ETL components
Understand infrastructure setup and provide solutions independently or in collaboration with teams

Requirements:

Firsthand Experience in developing, testing and maintaining applications on AWS Cloud
Strong hands‑on experience with the AWS Data Analytics stack (Amazon S3, AWS Glue, Athena, Lambda, IAM, Lake Formation, KMS, STS, and Step Functions), with a proven ability to build, test, and support secure, scalable, and well‑governed data pipelines
Firsthand experience in Airflow and PySpark and strong knowledge of Python
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 using DBT (Data Build Tool) with snowflake for ELT pipeline development
Experience in Writing advanced SQL and PL SQL programs
Experience in AWS data pipeline development
HandsOn Experience for building reusable components using Snowflake and AWS Tools/Technology
Must have completed two major projects

Nice to have:

Exposure to data governance or lineage tools such as Immuta and Alation
Experience in using Orchestration tools such as Apache Airflow or Snowflake Tasks
Knowledge on Ab Initio ETL tool
Hands on experience in Unix scripting
Automation based on tools like selenium, java
Good knowledge of Data Marts and Data Warehousing concepts
Excellent analytical and people skills
Implement a cloud-based enterprise data warehouse using multiple platforms, including Snowflake and NoSQL, to develop data movement strategies

What we offer:

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Additional Information:

Job Posted:
March 05, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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