Client Technology - Data Science

Key Skills

Aartificial intelligence, Algorithms, AWS, Azure, C# Programming, Data Mining, Data science techniques, Data structuring, Database, Deep Learning, Docker, Java Programming, Machine learning techniques, MongoDB, Natural Language Processing (NLP), Neo4J, NoSQL, Python Programming, R Programming, SQL

Job Description

NITRO Data Engineer

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. 

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

The opportunity

As a Data Engineer in NITRO, you will be in the thick of things! You will work on the most difficult & fun phases of Innovation management:

• Understanding and applying latest data mining techniques
• Processing huge amount of data and extracting relevant information from them
• Designing the data processing pipelines in Cloud ecosystem.
• In-depth understanding of Machine learning and NLP concepts
• Opportunity to work on generative AI and its applications

Your key responsibilities

• Be very strong in algorithms, data structures, problem solving, building to scale by leveraging cloud computing
• Handle ambiguity and able to move forward with imperfect information and get things done in a rapidly changing environment
• Must be comfortable working in an environment where ideas are challenged;
• Astute in aligning effort & resources to achieve desired results.
• Expertise in production deployments.

Skills and attributes for success

• Solid understanding of Cloud platforms (Azure).
• In depth knowledge of SQL, NoSQL databases and data modeling techniques.
• Demonstrated expertise in solving business problems using ML/NLP/Text analytics solutions
• Strong programming skills in C#/java and python/R
• Conversant with the cognitive services offerings from major players like Microsoft, IBM, AWS etc.
• Containerization/Dockers

Following skills would be a strong plus:

• Good knowledge of Machine Learning
• Microsoft Azure Platform
• Exposure to Azure open AI or Open AI
• Neo4J and MongoDB
• Experience with deploying machine/deep learning solutions in the cloud.
• Linux Administration.

To qualify for the role, you must have

• Master’s in computer science, MIS or equivalent from a Tier 1 school (preferred)
• 7-10 years of overall experience in building large scale data analytics solutions.

Ideally, you’ll also have

• Good knowledge of Machine Learning
• Neo4J and MongoDB
• Experience with deploying machine/deep learning solutions in the cloud.
• Linux Administration
• Experience in Apache Airflow
• Databricks