Senior Data Engineer

HD Supply
Chennai
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4-7 yearsSkills: ["Data quality focus","Performance tuning","Automation","Collaboration","Mentoring"]

Lead the design and optimization of scalable, cloud-native data pipelines for enterprise analytics and strategic decision-making. Build and automate end-to-end ETL/ELT workflows using Snowflake, dbt, Python, and PySpark, enabling reliable reporting through Tableau. Focus on data quality, performance tuning, governance, and modern data architecture (lakehouse). Collaborate cross-functionally, mentor team members, and drive best practices and continuous improvement within the data engineering function.

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HD Supply
HD Supply
9 months ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Lead the design and optimization of scalable, cloud-native data pipelines for enterprise analytics and strategic decision-making. Build and automate end-to-end ETL/ELT workflows using Snowflake, dbt, Python, and PySpark, enabling reliable reporting through Tableau. Focus on data quality, performance tuning, governance, and modern data architecture (lakehouse). Collaborate cross-functionally, mentor team members, and drive best practices and continuous improvement within the data engineering function.
Location: Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead design and optimization of scalable, cloud-native data pipelines for enterprise analytics.
  • •Integrate diverse data sources and enable seamless reporting through platforms like Tableau.
  • •Own data quality, performance tuning, and automation for high-volume data pipelines.
  • •Apply modern data architecture principles, including data warehousing and lakehouse architecture, in a cloud environment.
  • •Mentor team members and drive best practices and continuous improvement across the data engineering function.

Key Requirements

  • •Bachelor’s or master’s degree in computer science, Engineering, or a related field.
  • •4–7 years of total experience in data engineering and big data pipeline development.
  • •Demonstrated experience in Snowflake and dbt.
  • •Advanced proficiency in SQL, Python, and PySpark for scalable data processing and transformation.
  • •Hands-on experience building end-to-end ETL/ELT pipelines and understanding data warehousing and lakehouse architecture.
Experience:4-7 yearsData engineeringBig dataCloud dataAnalytics engineering
Education:
Skills:Data quality focusPerformance tuningAutomationCollaborationMentoring
Certifications:Azure Data Engineer Associate (DP-203)
Tech Stack:SnowflakeDbtPythonTableauSQLPySparkETLELTLakehouseAzureDatabricksCloud data platformsDevOpsGitCI/CDSAP

Company Brief

HD Supply
Wholesale distributor of maintenance, repair and operations (MRO) products, providing building materials, construction supplies, and related services to contractors, property managers, and facility maintenance professionals across North America.
Industry: Wholesale & Distribution
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: Private Equity Backed
Headquarters: Atlanta, United States
WebsiteLinkedIn