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Posted 17 Jan 2026

Programming.com - Senior Data Engineer

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Employment
Full time
Posted
17 Jan 2026

About the role

Job Title: Senior Data Engineer Role
Experience: 5+ Years
Shift: Night Shift
Location: PAN India
Work Mode: Office


About Company: is a global digital transformation and software development company specializing in cutting-edge tech like AI, Metaverse, Blockchain, Cloud, IoT, and AR/VR, providing custom solutions and IT consulting for enterprises and startups worldwide.Job Summary:

We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and ensure high data quality across platforms. The role involves hands-on ownership of ETL pipelines, Epicor data extraction, dbt semantic modeling, and acting as the gatekeeper for data reliability and performance.

Key Responsibilities
  • Design, develop, and maintain robust ETL pipelines for large-scale data processing.

  • Build and optimize data extraction pipelines from Epicor ERP systems.

  • Develop and manage dbt models and semantic layers to support analytics and reporting.

  • Implement data quality checks, validation rules, and monitoring frameworks.

  • Ensure data accuracy, consistency, performance, and reliability across pipelines.

  • Troubleshoot pipeline failures and optimize data workflows.

  • Collaborate with analytics, product, and business teams to understand data needs.

  • Maintain documentation for pipelines, models, and data processes.

  • Follow best practices for version control, testing, and deployment.

Required Skills & Qualifications
  • 5+ years of experience as a Data Engineer or similar role.

  • Strong proficiency in Python.

  • Hands-on experience building ETL pipelines.

  • Experience working with dbt, including semantic layer modeling.

  • Strong understanding of data quality frameworks and validation techniques.

  • Experience integrating ERP systems, preferably Epicor.

  • Solid understanding of SQL and data warehousing concepts.

  • Experience with cloud platforms and modern data stacks (preferred).

  • Strong debugging, problem-solving, and optimization skills.

Good to Have
  • Experience with orchestration tools (Airflow, Prefect, etc.).

  • Knowledge of CI/CD for data pipelines.

  • Experience in handling large-scale datasets and performance tuning.

  • Familiarity with data governance and security best practices.

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