AWS Data Engineer, VP

NatWest Group; Gurugram District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

NatWest Group in India is recruiting for a Data Engineer to build scalable data solutions, data pipelines, and data products. You will work on ETL design, data modelling and governance to support customer insights while ensuring data safety and regulatory compliance.

The role involves developing streaming and batch data processing capabilities, collaborating with the data engineering community, and driving commercial value through data-driven decisions.

Qualifications

• At least 12 years of ETL design experience including data quality testing, cleansing and monitoring.
• Experience with Snowflake, AWS Data Analytics or Azure D365 stack, Python, and SQL for data products and data marts.
• Strong understanding of modern code development practices.
• Experience working in a governed and regulatory environment.
• Data warehousing and data modelling capabilities.

Responsibilities

• Build advanced automation of data engineering pipelines by removing manual stages.
• Embed new data techniques into the business through modelling, training, and oversight.
• Deliver understanding of data platform costs to meet department targets.
• Source new data using appropriate tooling for various scenarios.
• Develop solutions for streaming data ingestion and transformations.

Skills

ETL design

Data quality testing

Data sourcing

Data modelling

Python

SQL

Tools

Snowflake

AWS Data Analytics

Azure D365

Job description

Join us as a Data Engineer

• You’ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making
• We’ll look to you to drive the build of effortless, digital first customer experiences
• If you’re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you’re looking for
• We're offering this role at vice president level

What you'll do

As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank’s data, safe and secure.

You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.

Your responsibilities will also include:

• Building advanced automation of data engineering pipelines through removal of manual stages
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight
• Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets
• Sourcing new data using the most appropriate tooling for the situation
• Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

The skills you'll need

To thrive in this role, you’ll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data.You’ll also bring practical experience of programming languagesalongside knowledge of data and software engineering fundamentals.

Additionally, you’ll need:

• 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