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Engineer Data Center System

Tata Consultancy Services • Farmington Hills, MI

Not Applicable Posted March 26, 2026 Job link

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Responsibilities

Work across Fabric workloads: Data Factory (ETL), Synapse Data Engineering (Spark), Synapse Data Warehousing (SQL), and OneLake for storage.
Data Loading & Architecture
Design data loading patterns, lakehouse architectures, and orchestration processes for enterprise-scale analytics.
Data Preparation & Enrichment
Prepare and enrich data for analysis, ensuring data quality and consistency checks.
Implement semantic models for BI and self-service analytics.
Security & Compliance
Secure and manage analytics assets, enforce governance policies, and monitor compliance using Microsoft Purview and Managed Identity.
Performance & Optimization
Monitor and optimize Fabric pipelines and workloads for cost efficiency and high availability.
Collaboration & Stakeholder Engagement
Work closely with architects, analysts, and business teams to translate requirements into scalable solutions.
Enable Power BI integration for visualization and reporting.
Data Integration & Orchestration
Build and manage data pipelines using Azure Data Factory (ADF) and Synapse pipelines for batch and incremental ingestion.
Automate ETL workflows and implement parameterized pipelines for scalability.
Data Transformation & Modelling
Develop PySpark notebooks and SQL scripts to clean, transform, and convert raw files into optimized formats (Parquet/Delta).
Create views, stored procedures, and dimensional models for reporting and analytics.
Performance Optimization
Monitor Dynamic Management Views (DMVs) in Synapse to analyze system health and reduce bottlenecks.
Implement workload management strategies for query performance and resource governance.
Security & Governance
Apply role-based authentication, encryption/decryption logic, and compliance controls.
Automate governance tasks to reduce manual intervention.
Reliability & Monitoring
Build failure monitoring systems integrated with Logic Apps for alerting and proactive issue resolution.

Not Met Priorities

What still needs stronger evidence

Requirements

Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power Bi
Unified Analytics Platform
Data Preparation & Enrichment
Implement semantic models for BI and self-service analytics.
Security & Compliance
Enable Power BI integration for visualization and reporting.
Data Integration & Orchestration
Build and manage data pipelines using Azure Data Factory (ADF) and Synapse pipelines for batch and incremental ingestion.
Automate ETL workflows and implement parameterized pipelines for scalability.
Data Transformation & Modelling
Develop PySpark notebooks and SQL scripts to clean, transform, and convert raw files into optimized formats (Parquet/Delta).
Create views, stored procedures, and dimensional models for reporting and analytics.
Performance Optimization
Security & Governance

Education

(Not required) – Qualifications: AMIE

Job Description
Must Have Technical/Functional Skills :
Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power Bi
Roles & Responsibilities
Unified Analytics Platform
Work across Fabric workloads: Data Factory (ETL), Synapse Data Engineering (Spark), Synapse Data Warehousing (SQL), and OneLake for storage.
Data Loading & Architecture
Design data loading patterns, lakehouse architectures, and orchestration processes for enterprise-scale analytics.
Data Preparation & Enrichment
Prepare and enrich data for analysis, ensuring data quality and consistency checks.
Implement semantic models for BI and self-service analytics.
Security & Compliance
Secure and manage analytics assets, enforce governance policies, and monitor compliance using Microsoft Purview and Managed Identity.
Performance & Optimization
Monitor and optimize Fabric pipelines and workloads for cost efficiency and high availability.
Collaboration & Stakeholder Engagement
Work closely with architects, analysts, and business teams to translate requirements into scalable solutions.
Enable Power BI integration for visualization and reporting.
Data Integration & Orchestration
Build and manage data pipelines using Azure Data Factory (ADF) and Synapse pipelines for batch and incremental ingestion.
Automate ETL workflows and implement parameterized pipelines for scalability.
Data Transformation & Modelling
Develop PySpark notebooks and SQL scripts to clean, transform, and convert raw files into optimized formats (Parquet/Delta).
Create views, stored procedures, and dimensional models for reporting and analytics.
Performance Optimization
Monitor Dynamic Management Views (DMVs) in Synapse to analyze system health and reduce bottlenecks.
Implement workload management strategies for query performance and resource governance.
Security & Governance
Apply role-based authentication, encryption/decryption logic, and compliance controls.
Automate governance tasks to reduce manual intervention.
Reliability & Monitoring
Build failure monitoring systems integrated with Logic Apps for alerting and proactive issue resolution.
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.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $64,000-$105,000 a year
Qualifications: AMIE