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GDS Consulting_Senior Data Engineer

ExperiencedNo visa sponsorship
Ernst & Young logo

at Ernst & Young

Big Four

Posted 5 days ago

No clicks

**Senior Data Engineer (Databricks & Azure)** Design, build, and optimize data pipelines using Databricks, PySpark, Python, and SQL. Develop scalable ETL/ELT solutions and Lakehouse architectures. Work with Delta Lake, Unity Catalog, Databricks Workflows, and Structured Streaming. Support Azure-based data platforms with ADF and ADLS Gen2. Optimize Spark workloads for performance, scalability, and cost-efficiency. Implement CI/CD, DataOps, and best engineering practices. Collaborate with stakeholders to deliver high-quality data solutions. Mentor junior engineers and contribute to capability development. Requires 5+ years of Data Engineering experience, strong hands-on Databricks experience, and advanced proficiency in Python and SQL.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

At EY, youll 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 were 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 GDS Consulting Senior Data Engineer (Databricks & Azure)

 The Opportunity

EY GDS is seeking a Senior Data Engineer with strong expertise in Databricks, Azure, Python, and SQL to join our growing Data Engineering team. You will help deliver enterprise-scale data modernization and cloud transformation programs, building modern Lakehouse solutions that enable analytics, AI, and business intelligence for global clients.

 This role offers the opportunity to work with cutting-edge cloud and data technologies while collaborating with cross-functional teams across Data, AI, Analytics, and Cloud.

 
Key Responsibilities
  • Design, build, and optimize data pipelines using Databricks, PySpark, Python, and SQL.
  • Develop scalable ETL/ELT solutions and Lakehouse architectures.
  • Implement solutions using Delta Lake, Unity Catalog, Databricks Workflows, and Structured Streaming.
  • Develop and support Azure-based data platforms leveraging ADF and ADLS Gen2.
  • Optimize Spark workloads for performance, scalability, and cost efficiency.
  • Implement CI/CD, DataOps, and engineering best practices.
  • Collaborate with business and technical stakeholders to deliver high-quality data solutions.
  • Support data governance, quality, and security initiatives.
  • Mentor junior engineers and contribute to capability development.
 
To Qualify for the Role, You Must Have
  • 5+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks.
  • Advanced proficiency in Python and SQL.
  • Experience developing scalable data pipelines using PySpark and Databricks.
  • Experience with:
    • Delta Lake
    • Unity Catalog
    • Databricks Workflows
    • Structured Streaming
  • Experience with Azure Data Factory (ADF) and Azure Data Lake Storage Gen2 (ADLS Gen2).
  • Strong understanding of Data Modeling, ETL/ELT, and Data Warehousing concepts.
  • Experience with CI/CD using Azure DevOps, GitHub, or Git.
  • Experience optimizing Spark workloads in large-scale environments.
  • Excellent communication, problem-solving, and stakeholder management skills.
 
Preferred Skills
  • Databricks Certified Data Engineer Associate or Professional.
  • Microsoft Azure Data Engineer Associate (DP-203).
  • Experience with Microsoft Fabric, Snowflake, AWS, or GCP.
  • Familiarity with AI/ML workloads on Databricks.
  • Knowledge of Terraform, DevOps, and DataOps practices.
  • Exposure to Generative AI and modern AI platforms.
 
What We Look For
  • Strong engineering fundamentals and passion for modern data platforms.
  • Ability to solve complex business problems using data.
  • Ownership, accountability, and continuous learning mindset.
  • Effective collaboration across global and cross-functional teams.

 

What We Offer

  • Enterprise-scale Data & AI transformation projects.
  • Exposure to the latest Databricks, Azure, AI, and Analytics technologies.
  • Continuous learning and certification opportunities.
  • A collaborative, inclusive, and high-performing culture.
  • Clear career growth within EY GDS Consulting.

 

Join EY GDS and help shape the future of Data, Analytics, and AI through modern cloud and Lakehouse solutions. 

 

About EY

 

As a global leader in Assurance, Tax, Strategy & transactions, and Consulting services, were using the finance products, expertise, and systems weve 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, well 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

 

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.  

GDS Consulting_Senior Data Engineer

Compensation

Not specified

City: Not specified

Country: Not specified

Ernst & Young logo
Big Four

5 days ago

No clicks

at Ernst & Young

ExperiencedNo visa sponsorship

**Senior Data Engineer (Databricks & Azure)** Design, build, and optimize data pipelines using Databricks, PySpark, Python, and SQL. Develop scalable ETL/ELT solutions and Lakehouse architectures. Work with Delta Lake, Unity Catalog, Databricks Workflows, and Structured Streaming. Support Azure-based data platforms with ADF and ADLS Gen2. Optimize Spark workloads for performance, scalability, and cost-efficiency. Implement CI/CD, DataOps, and best engineering practices. Collaborate with stakeholders to deliver high-quality data solutions. Mentor junior engineers and contribute to capability development. Requires 5+ years of Data Engineering experience, strong hands-on Databricks experience, and advanced proficiency in Python and SQL.

Full Job Description

At EY, youll 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 were 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 GDS Consulting Senior Data Engineer (Databricks & Azure)

 The Opportunity

EY GDS is seeking a Senior Data Engineer with strong expertise in Databricks, Azure, Python, and SQL to join our growing Data Engineering team. You will help deliver enterprise-scale data modernization and cloud transformation programs, building modern Lakehouse solutions that enable analytics, AI, and business intelligence for global clients.

 This role offers the opportunity to work with cutting-edge cloud and data technologies while collaborating with cross-functional teams across Data, AI, Analytics, and Cloud.

 
Key Responsibilities
  • Design, build, and optimize data pipelines using Databricks, PySpark, Python, and SQL.
  • Develop scalable ETL/ELT solutions and Lakehouse architectures.
  • Implement solutions using Delta Lake, Unity Catalog, Databricks Workflows, and Structured Streaming.
  • Develop and support Azure-based data platforms leveraging ADF and ADLS Gen2.
  • Optimize Spark workloads for performance, scalability, and cost efficiency.
  • Implement CI/CD, DataOps, and engineering best practices.
  • Collaborate with business and technical stakeholders to deliver high-quality data solutions.
  • Support data governance, quality, and security initiatives.
  • Mentor junior engineers and contribute to capability development.
 
To Qualify for the Role, You Must Have
  • 5+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks.
  • Advanced proficiency in Python and SQL.
  • Experience developing scalable data pipelines using PySpark and Databricks.
  • Experience with:
    • Delta Lake
    • Unity Catalog
    • Databricks Workflows
    • Structured Streaming
  • Experience with Azure Data Factory (ADF) and Azure Data Lake Storage Gen2 (ADLS Gen2).
  • Strong understanding of Data Modeling, ETL/ELT, and Data Warehousing concepts.
  • Experience with CI/CD using Azure DevOps, GitHub, or Git.
  • Experience optimizing Spark workloads in large-scale environments.
  • Excellent communication, problem-solving, and stakeholder management skills.
 
Preferred Skills
  • Databricks Certified Data Engineer Associate or Professional.
  • Microsoft Azure Data Engineer Associate (DP-203).
  • Experience with Microsoft Fabric, Snowflake, AWS, or GCP.
  • Familiarity with AI/ML workloads on Databricks.
  • Knowledge of Terraform, DevOps, and DataOps practices.
  • Exposure to Generative AI and modern AI platforms.
 
What We Look For
  • Strong engineering fundamentals and passion for modern data platforms.
  • Ability to solve complex business problems using data.
  • Ownership, accountability, and continuous learning mindset.
  • Effective collaboration across global and cross-functional teams.

 

What We Offer

  • Enterprise-scale Data & AI transformation projects.
  • Exposure to the latest Databricks, Azure, AI, and Analytics technologies.
  • Continuous learning and certification opportunities.
  • A collaborative, inclusive, and high-performing culture.
  • Clear career growth within EY GDS Consulting.

 

Join EY GDS and help shape the future of Data, Analytics, and AI through modern cloud and Lakehouse solutions. 

 

About EY

 

As a global leader in Assurance, Tax, Strategy & transactions, and Consulting services, were using the finance products, expertise, and systems weve 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, well 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

 

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.