Job Description
Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
This role is based in India and as such all normal working days must be carried out in India.
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
This role is available 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
We're looking for someone with at least 12 years of strong hands-on design and development experience with at least four in Terraform and common AWS services for Networking, compute, data and file storage, server less architecture, notifications and messaging or streaming tools, and MLOps or data science or machine learning tools. 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 languages alongside knowledge of data and software engineering fundamentals. It'll be ideal if you have exposure to big data technologies and AWS data science tools like Sagemaker and EMR clusters.
Additionally, you’ll need:
Strong experience of Unix or Linux, Python or PySpark and CICD tools, and both on-premise and cloud offerings
Experience of data science engineering implementations with awareness of data science development methodologies
Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
Data warehousing and data modelling capabilities
A good understanding of modern code development practices
Experience of working in a governed, and regulatory environment
Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders
This role is based in India and as such all normal working days must be carried out in India.
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
This role is available 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
We're looking for someone with at least 12 years of strong hands-on design and development experience with at least four in Terraform and common AWS services for Networking, compute, data and file storage, server less architecture, notifications and messaging or streaming tools, and MLOps or data science or machine learning tools. 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 languages alongside knowledge of data and software engineering fundamentals. It'll be ideal if you have exposure to big data technologies and AWS data science tools like Sagemaker and EMR clusters.
Additionally, you’ll need:
Strong experience of Unix or Linux, Python or PySpark and CICD tools, and both on-premise and cloud offerings
Experience of data science engineering implementations with awareness of data science development methodologies
Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
Data warehousing and data modelling capabilities
A good understanding of modern code development practices
Experience of working in a governed, and regulatory environment
Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer| VP position is now open for candidates interested in the Bank Jobs sector. This role in Bengaluru offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
