EY - GDS Consulting - AI And DATA - Snowflake - Senior

7 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

At EY, we’re all in to shape your future with confidence.We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.

Core Responsibilities Of a Data Engineer In D&A

  • Data Pipeline Design & Development
Data Engineers are responsible for designing and building

robust, scalable, and high-quality data pipelines

that support analytics and reporting needs. This includes:
    • ETL/ELT development using tools like Azure Data Factory, Databricks, and Snowflake.
    • Integration of structured and unstructured data from various sources into data lakes and warehouses.
    • Cloud Platform Engineering
    They operationalize data solutions on cloud platforms, integrating services like

    Azure

    ,

    Snowflake

    , and third-party technologies.
    • Manage environments, performance tuning, and configuration for cloud-native data solutions.
  • Data Modeling & Architecture
    • Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
    • Collaborate with solution architects and analysts to ensure models meet business needs.
  • Data Governance & Security
    • Ensure data integrity, privacy, and compliance through governance practices and secure schema design.
    • Implement data masking, access controls, and metadata management for sensitive datasets.
  • Collaboration & Agile Delivery
    • Work closely with cross-functional teams including product owners, architects, and business stakeholders to translate requirements into technical solutions.
    • Participate in Agile ceremonies, sprint planning, and DevOps practices for continuous integration and deployment.
  • Mentorship & Talent Development
    • Help business users understand and leverage analytics tools effectively.

Key Skills Required

  • Programming: Python, SQL, Spark
  • Cloud Platforms: Azure, AWS, Snowflake
  • Data Tools: DBT, Erwin Data Modeler, Apache Airflow
  • Governance: Data masking, metadata management, SOX compliance
  • Soft Skills: Communication, problem-solving, stakeholder engagement
  • Experience in Data Eng > 7 years

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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Professional Services

London

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