Role
Join us as a "Data Engineer - AVP" at Barclays where you will be doing hands-on data engineering role focused on building production-grade data infrastructure and data products. The overall purpose of the role is to:
- Build and maintain data infrastructure that sits on Snowflake and integrate with broader data stack
- Build and maintain pipelines for data products consumed by clients and for research analysis that is consumed by data scientists
- Manage dependencies between pipelines and write tests to ensure data quality at each steps and maintain
- Implement monitoring, logging, alerting for data infrastructure observability
- Productionize models and data analyses and ensure clean deployment to Prod environment.

Key Accountabilities
The main duties of the job will be composed of the following:
- Understanding the Global Research business and products we offer to our clients
- Develop complete understanding of data infrastructure
- Build/maintain Snowflake data stack and integrate with broader data stack (AWS, S3, Athena , Iceberg, SQL databases,)





Design and maintain analytical data models optimised for Snowflake consumption by BI and data science usersl
- Implement CI/CD practices for data pipelines and Snowflake objects across dev/test/prod environments
- Should be comfortable with big-data infrastructure on AWS (via Athena, PySpark and Python) in terms of ETL
- Partnering with IT teams, vendors and business to define data onboarding requirements
- Communicate directly with the stakeholders on a regular basis to discuss solutions proposed for continuous improvement
- Onboard new data sets and write transformations/tools to make them usable
- Integrate with interactive tools and advanced dashboards for BI (Tableau, Power BI)
- CI/CD practices for data pipelines

Person Specification
- Excellent written and verbal communication skills
- Solid attention to detail
- Ability to work effectively in a team environment
- Strong interest in the subject matter
-

📌 Data Engineer (Mumbai)
🏢 Barclays
📍 Mumbai