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EY

Senior Azure Databricks Engineer

EY

Azure Data Engineer role at EY focusing on data management in global projects. Collaborating with engineers and architects to solve complex data challenges.

Posted 7/19/2026full-timeKolkata • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing large-scale data warehousing projects, particularly with Azure Synapse and Databricks, while effectively communicating complex information to diverse audiences. Proficient in SQL and Python (PySpark), with a strong focus on data integration, metadata extraction, and problem-solving at scale.

Highest-signal resume keywords
Azure SynapseDatabricks PySparkSQLData WarehousingETL

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPython (PySpark)Data IntegrationMetadata ExtractionData ModellingNoSQLETLAPIsProblem SolvingData Quality Standards
Soft Skills
Excellent CommunicationSelf-MotivatedFlexibleTeam CollaborationTraining Delivery
Tools & Technologies
Azure SynapseDatabricksETL ToolsAPIs
Industry Keywords
Data WarehousingData QualityComplex Technological EnvironmentsHuman Task Workflows

Tech Stack

Tools & technologies
AzureETLNoSQLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Participate actively in a team of Engineers and Architects, leading the development of prototypes, conducting proofs of concept, and providing recommendations through the design, development, and/or operation of complex technological environments.
  • Collaborate closely with both business and technical resources, meeting requirements with concrete designs and implementing these designs effectively.
  • Conduct regular training sessions for our business and technology partners, focusing on enterprise data quality standards, guidelines, and processes.

Requirements

What you’ll need
  • Proven experience in managing and delivering large-scale data warehousing projects, preferably involving Azure Synapse or Databricks platform.
  • Strong SQL and Python(PySpark) skill is must for the role
  • Ability to handle metadata extraction and data integration across a range of resources.
  • A degree in computer science or a similar field, with between 3-7 years of practical experience.
  • At least 3 years of hands-on experience as a developer/designer, specifically with Databricks PySpark and Azure Synapse.
  • Strong ability to solve complex problems at scale.
  • Experience in integrating systems using ETL or APIs and designing human task workflows.
  • Flexible, self-motivated approach with strong commitment to problem resolution.
  • Excellent written and oral communication skills, with the ability to deliver complex information in a clear and effective manner to a range of different audiences.
  • Willingness to work globally and across different cultures, and to participate in all stages of the data solution delivery lifecycle, including pre-studies, design, development, testing, deployment, and support.
  • Data modelling or NoSQL experience will be an added advantage.

Benefits

Comp & perks
  • 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