EY GDS Data and Analytics -AWS
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.
Tech Stack: -
AWS
- Experience building on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, Quick Sight, etc.
- Experience in Pyspark/Spark / Scala
- Experience using software version control tools (Git, Jenkins, Apache Subversion)
- AWS certifications or other related professional technical certifications
- Experience with cloud or on-premises middleware and other enterprise integration technologies.
- Experience in writing MapReduce and/or Spark jobs.
- Demonstrated strength in architecting data warehouse solutions and integrating technical components.
- Good analytical skills with excellent knowledge of SQL.
- 2+ years of work experience with very large data warehousing environment
- Excellent communication skills, both written and verbal
- 2+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
- 2+ years of experience data modelling concepts
- 2+ years of Python and/or Java development experience
- 2+ years experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive
Skills and attributes for success
- Strong understanding & familiarity with all AWS/GCP /Bigdata Ecosystem components
- Strong understanding of underlying AWS/GCP Architectural concepts and distributed computing paradigms
- Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
- Hands on experience with major components like cloud ETLs, Spark, Databricks
- Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
- Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
- Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
- Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
- Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
- Good knowledge in Apache Kafka & Apache Flume
- Experience in Enterprise grade solution implementations.
- Experience in performance bench marking enterprise applications
- Experience in Data security [on the move, at rest]
- Strong UNIX operating system concepts and shell scripting knowledge
To qualify for the role, you must have
- Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
- Excellent communicator (written and verbal formal and informal).
- Ability to multi-task under pressure and work independently with minimal supervision.
- Strong verbal and written communication skills.
- Must be a team player and enjoy working in a cooperative and collaborative team environment.
- Adaptable to new technologies and standards.
- Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
- Responsible for the evaluation of technical risks and map out mitigation strategies
- Experience in Data security [on the move, at rest]
- Experience in performance bench marking enterprise applications
- Working knowledge in any of the cloud platform, AWS or Azure or GCP
- Excellent business communication, Consulting, Quality process skills
- Excellent Consulting Skills
- Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
- Minimum 2-7 years industry experience
Ideally, youll also have
- Strong project management skills
- Client management skills
- Solutioning 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
