Job Description
Must Have Technical/Functional Skills
We are seeking a skilled Data Engineer to design, build, and maintain high-quality, scalable data pipelines with a strong focus on Silver and Gold layer transformations, data quality automation, and CI/CD-driven deployments. The ideal candidate will have hands-on experience with Python, PySpark, Git-based CI/CD pipelines, ARM templates, and data quality libraries such as Great Expectations.
Roles & Responsibilities
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Design and implement Silver and Gold layer data models following medallion architecture best practices.
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Perform data cleansing, standardization, enrichment, and aggregation to support analytics and reporting.
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Build optimized PySpark-based transformations for large-scale data processing.
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Ensure data consistency, performance, and scalability across datasets.
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Build and maintain CI/CD pipelines using Git-based workflows (Azure DevOps / GitHub).
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Use ARM templates (or IaC equivalents) for automated infrastructure provisioning.
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Enable automated deployment of data pipelines, notebooks, and configurations.
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Follow DevOps best practices for version control, branching, and release management.
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Develop reusable Python-based automation scripts for pipeline orchestration, validation, and monitoring.
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Create modular, maintainable, and testable Python code.
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Support automation of metadata, logging, alerting, and operational tasks.
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Implement data quality libraries such as Great Expectations.
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Define and automate data quality rules (completeness, accuracy, freshness, consistency).
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Integrate data quality checks into data pipelines and CI/CD workflows.
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Monitor, log, and troubleshoot data quality issues proactively.
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Work closely with data architects, analysts, QA, and business stakeholders.
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Translate business and analytical requirements into robust data engineering solutions.
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Participate in Agile ceremonies and support sprint-based delivery.
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Provide production support, performance tuning, and troubleshooting
Salary Range $120,000-$130,000 year
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications:
BACHELOR OF COMPUTER SCIENCE