EY - GDS Consulting - AI and DATA -Python Data Eng - 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. 

EY_ Consulting _Python_Data_Engineer - Senior

The opportunity

As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services.
We’re looking for candidates with strong technology and data understanding in Azure data engineering space, having proven delivery capability. You will help our clients with designing and building data and analytics architectures to enable better business outcomes. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

To qualify for the role, you must have

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 3+ years of experience in designing, developing, and implementing data solutions using Python, Pandas and PySpark. 
• Strong knowledge of Data Engineering principles in implementing end to end Data Analytics solutions.
• Experience in any of the Cloud Platforms (Azure, AWS)
• Should have knowledge on SQL and databases/ Data modelling
• Strong knowledge on the Python/Pandas/PySpark Data connections, associated libraries and transformations.
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Experience with big data technologies, Databricks, Synapse is a plus

Skills and attributes for success

• Work with stakeholders to identify business needs and requirements
• Design, develop, and deploy data solutions based on Python, Pandas and PySpark
• Ensure data accuracy and integrity by implementing data validation, cleansing, and transformation processes
• Creation of the data ingestion pipelines
• Collaborate with other data engineers, data architects, and stakeholders to maintain and improve existing solutions
• Troubleshoot issues and provide timely and effective resolutions
• Stay up to date with the latest trends and technologies in the data engineering and cloud computing fields

Ideally, you’ll also have

• Should have excellent communication skills & should be able to articulate concisely & clearly
• Should be ready to do an individual contributor as well as Team Leader role is what we look for

What we look for

• A Team of people with technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals
• Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries

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.