Role: Engineer
Required Skills: Azure
Experience: 8 - 10 Years
Function: TECHNOLOGY
Apply By: 2026-12-06
Must Have Technical/Functional Skills
- Significant data engineering experience, including substantial hands-on Databricks development
- experience.
- Azure Databricks - Strong hands-on experience building production-grade batch pipelines and
- lakehouse solutions.
- PySpark / Spark SQL - Advanced transformations, joins, window functions, reusable frameworks,
- debugging, and performance tuning.
- Delta Lake - Table design, schema evolution, merge/upsert patterns, optimization, data reliability,
- and history management.
- Medallion architecture - Practical delivery experience across source-aligned, conformed, and
- consumption-ready layers.
- Data modeling - Fact/dimension design, conformed dimensions, slowly changing dimensions,
- aggregates, and semantic-consumption considerations.
- Data quality and testing - Profiling, rule implementation, reconciliation, unit/integration tests,
- controls, and defect analysis.
- Azure ecosystem - Working knowledge of Azure Data Lake Storage and relevant Azure
- integration, identity, monitoring, and DevOps services.
- DevOps - Git-based development, code reviews, CI/CD, environment promotion, release controls,
- and automated deployment.
- Security/governance - Experience implementing least-privilege access and working with catalog,
- lineage, classification, and row-level security requirements.
- SQL - Advanced SQL development and query optimization for large analytical datasets.
- Hands-on exposure to Databricks Lakeflow Spark Declarative Pipelines or Delta Live Tables and
- the ability to adopt evolving Databricks-native pipeline standards.
- Experience with Unity Catalog; familiarity with enterprise data-governance and data-quality tooling
- such as Informatica.
- Experience with HR data from Workday, Dayforce, PeopleSoft, recruiting, workforce
- management, or talent systems.
- Understanding of Power BI consumption patterns, star schemas, refresh needs, aggregates, and
- performance requirements.
- Experience creating accelerators, reusable engineering templates, metadata-driven pipelines, or
- automated test frameworks.
- Databricks Data Engineer certification or equivalent cloud/data engineering credential.
- Experience in a blended onshore/offshore Agile delivery model.
Roles & Responsibilities
- Design and develop scalable batch data pipelines in Azure Databricks using PySpark and Spark
- SQL.
- Build and maintain bronze, silver, and gold data structures, including certified fact and dimension
- data products.
- Translate business metric definitions, calculation rules, filters, granularity, history, and refresh
- requirements into technical designs.
- Create reusable transformations for HR domains such as retention, hiring, transfers, promotions,
- reviews, hours, and scheduling.
- Implement data-quality checks, reconciliation, exception handling, auditability, lineage, and
- technical documentation.
- Optimize Spark workloads, Delta tables, joins, partitions, file sizes, and cluster usage for
- performance and cost.
- Apply enterprise security and governance standards, including Unity Catalog integration,
- permissions, sensitive-data handling, and support for row-level access patterns.
- Coordina te with ingestion, data governance, modeling, DevOps, and Power BI teams to define
- clear data contracts and acceptance criteria.
- Contribute to CI/CD, source control, automated testing, deployment, operational monitoring, and
- production-readiness activities.
- Participate in requirement workshops and explain technical choices clearly to business, HR,
- analytics, and engineering stakeholders.
- Support knowledge transfer and mentor participating engineers or analysts
Salary Range-$110,000-$135,000 a year
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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 & Training Reimbursement.a
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing