Role

Join us as a "Data Engineer Analyst" 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 setting.

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
Strong attention to detail
Ability to work effectively in a team environment
Strong interest in the subject matter
Should strive towards continuous

📌 Data Engineer (Mumbai)
🏢 Barclays
📍 Mumbai