Senior Data Engineer

4 weeks ago

Bengaluru, Karnataka, India Giant Eagle GCC Full time

Job Summary

Job Title: Senior Data Engineer

You will play a crucial role in influencing technological decision-making for business teams, focusing on data, analysis, and reporting needs. The Senior Data Engineer will support the business's daily operations, including troubleshooting the Enterprise Semantic Layer (ESL) environment and job monitoring. This role will guide the business in identifying data needs and delivering mechanisms for acquiring and reporting such information, addressing actual needs. The Senior Data Engineer will gather and maintain best practices that can be adopted in big data stacking and sharing across the business.

Job Responsibilities:

  • Design/Strategy: The Senior Data Engineer designs and supports the business's database and table schemas for new and existing data sources for the ESL. Creates and supports the pipelines in order to facilitate the accommodation of data into the ESL.
  • Collaboration: The Senior Data Engineer works closely with data analysts, data scientists, and other data consumers within the business to gather and populate ESL table structure, optimized for reporting.
  • Analytics: The Senior Data Engineer plays an analytical role in quickly and thoroughly analyzing business requirements for reporting and analysis, translating the results into good technical data designs.
  • Operations: The Senior Data Engineer maintains and supports Business Operations by ensuring the data pipelines are running on schedule and the data is available.

Requirements:

  • 5+ years of related experience with a Bachelor's degree; equivalent work experience.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of NO SQL databases.
  • Advanced working experience in Azure environment, inclusive of Azure Data factory, Azure Databricks, Azure Datalake, Azure DevOps.
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets. In-depth knowledge of Model and Design of DB schemas for read and write performance.
  • Extensive working knowledge of API or Stream based data extraction processes like Oracle ERP API and Bulk API is must.
  • Experience supporting and working with cross-functional teams in a dynamic environment across geographies.

About the Company

Giant Eagle, Inc. has evolved into one of the top 40 largest private corporations in the U.S. and one of the country's largest food retailers and distributors. With more than 37,000 Team Members and $9.7 billion in revenue, we are committed to investing in people, technology, and data to elevate our customer's experience across multiple touchpoints.

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