Data and Analytics - Cloud Data Engineer - Senior - EY Global Delivery Services

Miguel Hidalgo, MX, 11520

EY

EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.

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As part of our EY- GDS-DnA Consulting team, you will help clients use various methods to 
transform raw data into useful data systems. You will align data systems with business goals. 
You must be self-directed and comfortable supporting the data needs of multiple teams, systems, 
and products. The ideal candidate should have 3-5 years of experience, Data Engineering, 
AZURE Cloud, Advanced SQL, Advanced Phyton programming, ETL and ELT Process 
knowledge, Data structures knowledge, MPP Databases (Teradata, Snowflake), Blob Storage, 
Azure Data Lake Storage, AZURE cloud. The Data Engineer will interact with different members 
of the team such as database architects, data analysts, and data scientists on data initiatives 
and ensure optimal data delivery architecture is consistent with business strategy. Our clients 
usually have theirs headquarters on USA, however they span across multiple industries, regions, 
and countries. 

 

The opportunity 
  
We are looking for Senior Data Engineer with expertise in developing and managing data 
pipelines, implementing complex stored procedures and best practices with data warehouse 
and ETL concepts, deploy fully operational data warehouse solutions into production. This is a 
fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new 
service offering. 

 

Your key responsibilities 
• Design and Develop batch and streaming data processing 
• Build data systems and pipelines. 
• Evaluate business needs and objectives. 
• Prepare data for prescriptive and predictive modeling. 
• Build prototypes. 
• Combine raw information from different sources. 
• Explore ways to enhance data quality and reliability. 
• Identify opportunities for data acquisition. 
• Monitor and optimize data storage and data processing 
• Design and implement data security 

 

Skills and attributes for success 

 

• 3-5 years of experience on Azure Data Factory 
• 3-5 years of experience on Databricks / Synapse 
• Experience on processing real time data. 
• Advanced knowledge on processing large amounts of data (billions of records) 
• 3-5 years of advanced knowledge on SQL, phyton programming, ETL and ELT Process. 
• Advanced knowledge on data structures, MPP Databases, Blob Storage. 
• 3-5 years of experience on AZURE storage (Blob, ADLS) 
• Previous experience as a data engineer or in a similar role. 
• Data engineering certification (AZURE Certified Data Engineer) is a plus. 
• Flexible and adaptable; able to work in ambiguous situations. 
• Able to work effectively at all levels in an organization. 


• Must be a team player and able to work collaboratively with and through others. 
• Must like to learn. 

 

To qualify for the role, you must have 

 

• Bachelor’s in technology or engineering or similar. 
• Experience working with Azure, Snowflake technologies. 

  
Ideally, you’ll also have 
  
• Familiarity with agile methodologies. 
• Familiarity with software such as Jira or ADO. 

 

What we look for 
  
• A Team of people with technical experience and enthusiasm to learn new things 
in this fast-moving environment 
• Opportunities to work with EY GDS DnA Consulting practice globally with leading 
businesses across a range of industries 
  
What working at EY offers 
  
At EY, we’re dedicated to helping our clients, from world’s top 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 
  
About EY 
  
As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance 
products, expertise, and systems we’ve developed to build a better working world. That starts 
with a culture that believes in giving you the training, opportunities, and creative freedom to make 
things better. Whenever you join, however long you stay, the exceptional EY experience lasts a 
lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make 
our ambition to be the best employer by 2020 a reality. 
  
If you can confidently demonstrate that you meet the criteria above, please contact us 
as soon as possible. 
  
Join us in building a better working world.  
  
Apply now 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture Azure Consulting Databricks Data pipelines Data quality Data warehouse ELT Engineering ETL Finance Jira MPP Pipelines Predictive modeling Security Snowflake SQL Streaming Teradata

Perks/benefits: Career development Flex hours

Region: North America
Country: Mexico
Job stats:  2  0  0

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