AWS Data Engineer, VP

Overview

Data Engineer role at vice president level, building scalable, digital-first data solutions and pipelines that put customers at the heart of decision-making.

What you'll do

• Simplify the organisation by developing innovative data-driven solutions through data pipelines, modelling and ETL design, keeping customer and bank data safe and secure.
• Understand complex business problems and requirements to apply the most appropriate and reusable tools to gather and build data solutions.
• Engage with the data engineering community to deliver opportunities and support the strategic direction.
• Carry out complex data engineering tasks to build a scalable data architecture.
• Build advanced automation of data engineering pipelines through removal of manual stages.
• Embed new data techniques into the business through role modelling, training, and experiment design oversight.
• Deliver a clear understanding of data platform costs to meet departmental cost saving and income targets.
• Source new data using the most appropriate tooling for the situation.
• Develop solutions for streaming data ingestion and transformations in line with the streaming strategy.

What you'll need

• Strong understanding of data usage and dependencies.
• Experience of extracting value and features from large-scale data.
• Practical experience of programming languages.
• Knowledge of data and software engineering fundamentals.
• At least 12 years of experience of ETL technical design, including data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis.
• Hands-on expertise with AWS Data Analytics or Azure D365 stack, Snowflake, Python, and SQL in the creation of data products and data marts.
• A good understanding of modern code development practice.
• Experience of working in a governed and regulatory environment.
• Data warehousing and data modelling capabilities.

Details

• Location: Gurugram.
• Hours: 45 per week.
• Job posting closing date: 16/10/2026.