EY - GDS Consulting - AI and DATA - AWS Data Engineer - Senior

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. 

AWS Data Engineer- Senior

We are seeking a highly skilled and motivated Hands on AWS Data Engineer with 5-10 years of experience in AWS Glue, Pyspark ,AWS Redshift, S3, and Python to join our dynamic team. As a Data Engineer, you will be responsible for designing, developing, and optimizing data pipelines and solutions that support business intelligence, analytics, and large-scale data processing. You will work closely with data scientists, analysts, and other engineering teams to ensure seamless data flow across our systems.

Technical Skills :

• Must have Strong experience in AWS Data Services like  Glue , Lambda, Even bridge, Kinesis, S3/ EMR , Redshift , RDS, Step functions, Airflow & Pyspark
• Strong exposure to IAM, Cloud Trail , Cluster optimization , Python & SQL
• Should have expertise in Data design, STTM, understanding of Data models , Data component design, Automated testing, Code Coverage, UAT support , Deployment and go live
• Experience with version control systems like SVN, Git.
• Create and manage AWS Glue crawlers and jobs to automate data cataloging and ingestion processes across various structured and unstructured data sources.
• Strong experience with AWS Glue building ETL pipelines, managing crawlers, and working with Glue data catalogue.
• Proficiency in AWS Redshift designing and managing Redshift clusters, writing complex SQL queries, and optimizing query performance.
• Enable data consumption from reporting and analytics business applications using AWS services (ex: QuickSight, Sagemaker, JDBC / ODBC connectivity, etc.)

Behavioural skills:

• Willing to work 5 days a week from ODC / client location ( based on project can be hybrid 3 days a week )
• Ability to Lead developers and engage with client stakeholders to drive technical decisions
• Ability to do technical design and POCs- help build / analyse  logical data model, required entities, relationships, data constraints and dependencies focused on enabling reporting and analytics business use cases
• Should be able to work in Agile environment
• Should have strong communication skills

Good to have :

• Exposure to Financial Services , Wealth and Asset Management
• Exposure to Data science, Exposure to Fullstack technologies
• GenAI will be an added advantage

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.