EY GDS Consulting AI and DATA AWS Data Engineer Senior WB 700091

EY · Consulting & Professional Services

Kolkata, India
On-site
Posted yesterday
Apply by 14 Oct
Data & AI

About the job

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY GDS – Data and Analytics (D&A) – Senior AWS Engineer

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We’re looking for candidates with deep expertise in AWS cloud technologies and data-driven architectures, having a proven track record in designing and delivering large-scale solutions. This is an exciting opportunity to be part of a leading organization and contribute to a growing Cloud Infrastructure and Data Analytics team that powers business transformation with advanced data pipelines and serverless architectures.

Your key responsibilities

Design, deploy, and manage cloud-native solutions using AWS services such as Glue, Lambda, S3, DynamoDB, Lake Formation, Athena, Redshift, and RDS.

Build scalable data lakes using S3 and Iceberg, ensuring secure and governed access to data for analytics and reporting

Implement event-driven workflows using Lambda, SNS, and EventBridge (AWS EventHub) for automation and real-time processing

Develop APIs and integrate services to support backend systems and client applications

Monitor, troubleshoot, and optimize infrastructure using CloudWatch and Grafana dashboards

Collaborate with cross-functional teams to define best practices, ensure security compliance, and align with business objectives

Automate deployments using CI/CD pipelines and Infrastructure as Code (IaC) frameworks

Mentor junior engineers and support knowledge-sharing across teams

Skills and attributes for success

Hands-on experience designing and implementing AWS cloud infrastructure at scale

Expertise in data lake formation, governance, and analytics using AWS Lake Formation, S3, Athena, and Iceberg

Strong understanding of serverless architectures and event-driven workflows using Lambda, SNS, and EventBridge

Strong knowledge of data warehousing using AWS Redshift and relational database design using Amazon RDS

Proficiency in scripting languages like Python or Bash to automate cloud operations and workflows

Experience developing APIs and integrating distributed systems in cloud environments

Strong knowledge of DynamoDB, data modeling, and query optimization for NoSQL data stores

Experience in configuring and monitoring cloud infrastructure using CloudWatch and Grafana

Working knowledge of CI/CD pipelines, DevOps practices, and tools like Terraform, CloudFormation, or AWS CDK

Understanding of storage formats such as Parquet, ORC, and AVRO for efficient querying and compression

Familiarity with security frameworks, IAM policies, encryption, and data protection best practices

Analytical mindset with strong troubleshooting and performance tuning capabilities

Ability to work with structured and unstructured data in batch and streaming pipelines

Demonstrated problem-solving skills, adaptability, and eagerness to learn new technologies

Experience with deployment processes and containerization is a plus

To qualify for the role, you must have

Be a computer science graduate or equivalent with 5-10 years of industry experience

Have working experience in an Agile base delivery methodology (Preferable)

Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.

Excellent communicator (written and verbal formal and informal).

Participate in all aspects of Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.

Ideally, you’ll also have

Client management skills

What we look for

People with technical experience and enthusiasm to learn new things in this fast-moving environment

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

Support, coaching and feedback from some of the most engaging colleagues around

Opportunities to develop new skills and progress your career

The freedom and flexibility to handle your role in a way that’s right for you

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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