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Early Applicant
  • Posted 21 hours ago
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Job Description

As a Senior Data Engineer, you will lead the design and optimization of scalable, cloud-native data pipelines that support enterprise-wide analytics and strategic decision-making. Collaborating closely with cross-functional teams, you'll leverage Snowflake, DBT and Python to integrate diverse data sources and enable seamless reporting through platforms like Tableau. This role requires a strong blend of technical expertise and business acumen, with a focus on data quality, performance tuning, and automation. You will also play a key role in fostering best practices, mentoring team members, and driving a culture of continuous improvement and innovation across the data engineering function.

Requirements

  • Education and Certifications
  • Bachelor's or master's degree in computer science, Engineering, or a related field
  • Certifications in Azure, Databricks or cloud data platforms are preferred
  • Azure Data Engineer Associate (DP-203) certification is desirable

Required Experience:

  • 4–7 years of total experience in Data engineering and big data pipeline development
  • Demonstrated experience in Snowflake and DBT
  • Experience with big data processing frameworks and modern data architecture principles

Essential Skills:

  • Advanced proficiency in SQL, Python, and PySpark for scalable data processing and transformation
  • Hands-on experience in building end-to-end ETL/ELT pipelines using DBT.
  • Strong grasp of data warehousing, lakehouse architecture, and modern analytics on cloud platforms
  • Hands-on experience with large-scale data platforms and performance tuning for high-volume data pipelines
  • Well-versed in DevOps practices, Git, and CI/CD pipelines for automating data engineering workflows
  • Strong understanding of modern data architecture and governance frameworks in a cloud environment

Desired Skills:

  • Proficiency in Tableau and BI tools with experience in building scalable dashboards and optimizing data models
  • Basic knowledge of SAP data models
  • Ability to independently lead and deliver end-to-end data engineering projects with minimal supervision

Benefits

  • Be part of a globally recognized leader in the home improvement sector, committed to operational excellence and sustainability
  • Opportunity to contribute to a rapidly expanding Global Technology Center (GTC) in Chennai, playing a vital role in global operations
  • Exposure to diverse global technology environment and cross-functional team collaborations
  • Competitive compensation package and comprehensive benefits
  • Clear pathways for career advancement and continuous learning opportunities within a high-performance organization

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