Data Engineer

Overview

As a Data Engineer, you’ll build data solutions that support digital customer experiences and the bank’s strategic direction. You’ll develop scalable data architecture, make data usable for analysts and scientists, and help deliver secure, cost-effective data solutions.

What you'll do

• Build, maintain, test and optimise a scalable data architecture.
• Carry out data extractions, transform data to make it usable to data analysts and scientists, and load data into data platforms.
• Develop comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development.
• Practice DevOps adoption in the delivery of data engineering.
• Proactively perform root cause analysis and resolve issues.
• Collaborate closely with core technology and architecture teams in the bank to build data knowledge and data solutions.
• Develop a clear understanding of data platform cost levers to build cost effective and strategic solutions.
• Source new data using the most appropriate tooling and integrate it into the overall solution to deliver for customers.
• Participate actively in the data engineering community.

What you'll need

• A good understanding of data usage and dependencies with wider teams and the end customer.
• Experience of extracting value and features from large scale data.
• Experience of ETL technical design, including data quality testing, cleansing and monitoring.
• Data warehousing and data modelling capabilities.
• Experience of using programming languages alongside knowledge of data and software engineering fundamentals.
• Good knowledge of modern code development practices.
• Strong communication skills with the ability to proactively engage with a wide range of stakeholders.

Details

• Location: Gurugram.
• Working hours: 45.