Job Title: Senior Data Engineer Role
Experience: 5+ Years
Shift: Night Shift
Location: PAN India
Work Mode: Office
About Company:
Programming.com 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
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Design, develop, and maintain robust ETL pipelines for large-scale data processing.
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Build and optimize data extraction pipelines from Epicor ERP systems .
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Develop and manage dbt models and semantic layers to support analytics and reporting.
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Implement data quality checks, validation rules, and monitoring frameworks .
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Ensure data accuracy, consistency, performance, and reliability across pipelines.
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Troubleshoot pipeline failures and optimize data workflows.
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Collaborate with analytics, product, and business teams to understand data needs.
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Maintain documentation for pipelines, models, and data processes.
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Follow best practices for version control, testing, and deployment.
Required Skills & Qualifications
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5+ years of experience as a Data Engineer or similar role.
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Strong proficiency in Python .
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Hands-on experience building ETL pipelines .
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Experience working with dbt , including semantic layer modeling.
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Strong understanding of data quality frameworks and validation techniques .
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Experience integrating ERP systems, preferably Epicor .
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Solid understanding of SQL and data warehousing concepts.
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Experience with cloud platforms and modern data stacks (preferred).
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Strong debugging, problem-solving, and optimization skills.
Good to Have
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Experience with orchestration tools (Airflow, Prefect, etc.).
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Knowledge of CI/CD for data pipelines.
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Experience in handling large-scale datasets and performance tuning.
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Familiarity with data governance and security best practices.
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