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Ernst & Young

Global professional services: consulting, assurance, tax

Ttt – Senior - Data Engineering

Data EngineeringUpdated on Nov 14
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong verbal and written communication skills.
  • Ability to work as an individual contributor.
  • At least 5 years of combined experience using Snowflake, Azure SQL, or SQL Server, including building databases, database design, and data modeling.
  • Experience with Snowpipe, Azure Data Factory, SSIS, or another ETL tool.
  • Familiarity with Python for automation and scripting.

Responsibilities

  • Design, develop, and implement data solutions, data warehouses, and data lakes using Snowflake.
  • Apply knowledge of Snowflake architecture, including compute-storage separation and virtual warehouses.
  • Analyze queries using Query Profile and understand cache architecture.
  • Implement data integration solutions using Snowflake, including ingestion from various sources.
  • Use Streams, Tasks, Snowpipe, Azure Data Factory, or another ETL tool for data ingestion and automation.
  • Design and develop ETL workflows for Snowflake using different ETL solutions.
  • Perform database programming and backend development using SQL Server or Azure SQL, including writing complex queries, stored procedures, views, triggers, cursors, and user-defined functions.
  • Apply data modeling and data warehouse concepts.
  • Develop, maintain, and optimize data-layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries.
  • Use Azure data platform offerings.
  • Work with application developers from core systems to address changes in those systems and their impact on existing SQL databases.
  • Define data solutions for business problems by working directly with project managers, senior colleagues, and clients.
  • Communicate with senior IT leaders about program strategies and plans and negotiate quality solutions.
  • Perform data modeling using Star schema, Snowflake schema, and Data Vault.
  • Work with CI/CD pipelines.

Desired Qualifications

  • Exposure to Power BI or another visual analytics tool is desirable but not mandatory.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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