Senior Snowflake and Databricks Data Engineer

Risk Consulting - Snowflakes-DataBrick-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. 

 

 

 

 

Job Title: Snowflake and Databricks Developer

Experience: 4-6 Years

About the Company:

EY is a leading global professional services firm offering a broad range of services in assurance, tax, transaction, and advisory services. We're looking to hire a highly skilled Snowflake & Databricks professional with proven track record of data migration and optimization within Snowflake and Databricks.

 

Job Responsibilities:

• Design, develop, and deploy scalable data solutions using Azure Databricks within Azure Cloud environments.
• Minimum 4+ years of IT experience, including 2+ years of hands-on experience with Snowflake and Databricks.
• Strong understanding of Data Warehousing concepts, ETL processes, and data modelling principles.
• Proficiency in Snowflake features:
  • Functions and utilities
  • Staging and file upload
  • Time Travel and Fail-safe
  • Stored procedures, tasks, Snowpipe, and SnowSQL.
• Proficiency in Databricks:
  • Design, develop, and maintain data pipelines using Databricks
  • Implement and manage Delta Lake for reliable ACID-compliant data storage
  • Unity Catalog for governance, security, and metadata management
  • Performance tuning, Caching, and Optimization
• Configure and manage workflow orchestration using Databricks Job Scheduler, including task dependencies and data processing schedules.
• Deep knowledge of Snowflake architecture and expertise in extracting data from diverse sources (flat files, XML/JSON, RDBMS, etc.).
• Strong SQL skills with ability to write complex queries and optimize performance.
• Configure and replicate Azure Databricks components (workspaces, clusters, storage) and migrate workloads from Hadoop.
• Expertise in data engineering components:
  • Data Pipelines
  • Data Orchestration
  • Data Quality
  • Data Governance
  • Analytics.
• Hands-on experience implementing large-scale data intelligence solutions using Snowflake DW and Databricks.
• Working knowledge of streaming platforms such as Kafka.
• Experience handling semi-structured and unstructured data formats.

 

Required Skills:

• Proven experience as a Snowflake and Databricks Developer, with a strong track record of delivering data solutions.
• Hands-on expertise in data architecture, including complex data modelling and data governance practices.
• Strong proficiency in Python, with demonstrated experience in ETL development and automation.
• Solid understanding of SQL and relational database concepts, with ability to write and optimize complex queries.
• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Excellent problem-solving and debugging skills, with the ability to troubleshoot complex data workflows and systems.
• Strong expertise in PySpark, Azure Databricks, and Delta Lake for building scalable data solutions.

 

Education:

• BS/MS degree in Computer Science, Engineering, or a related subject is required.
• EY is committed to providing equal opportunities to all candidates. We welcome and encourage applications from candidates with diverse experiences and backgrounds.

 

 

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.  

Experience Level

Senior Level