Data Engineer with banking

The opportunity

As a Data Engineer, You will be responsible for the creation, schedule and optimization of the data processing pipelines using Apache Spark and Apache Airflow deployed on our data analytics platform.

The Data Engineer will support our software developers, architects, and DevOps team on data initiatives. Ability to work in an Agile / Scrum model.

Your key responsibilities

• Create, build and deploy data pipelines that clean and process data for analysis
• Build reusable component pipelines that can be assembled for more complex pipelines
• Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Work with structured and unstructured data sets
• Work with QA to develop an automation test strategy for data pipelines that aligns with the platform’s architecture

Skills and attributes for success

Ideally, you’ll also have

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across ten locations – Argentina, China, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

About EY

EY | Building a better working world