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# Azure Data Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Bellevue, WA, United States
- **Salary:** $64,000.0 - $104,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Microsoft Azure, Databases, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Monitoring of Systems, Python (Programming Language), Microsoft SQL Server, SQL Azure, Performance Tuning, Power BI, Kusto Query Language, SQL Stored Procedures, SQL Databases, Parquet, Microsoft Power Automate, Azure Data Factory, System Availability, Apache Spark, Pyspark, Data Management, Data Pipelines
- **Published:** May 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3d964bf5052b8183

## About the Role

Do you have experience in Spark implementation?, Strong in database and DW concepts, Excellent technical & analytical skills with strong business acumen
Strong communication skills
Must have Microsoft Azure Cloud and services experience.

## Description

Synapse; SQL Server; Python; Azure Storage; ADF; Cosmos; Kusto; Digital : PySpark; Fabric; Data Engineering; Data Warehouse
Roles & Responsibilities:
Unified Analytics Platform
Work across Fabric workloads: COSMSO, Kusto, Data Factory (ETL), Synapse Data Engineering (Spark/SQL), 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 and Managed Identity.
Performance & Optimization
Monitor and optimize Data pipelines and workloads for cost efficiency and high availability.
Collaboration & Stakeholder Engagement, Offshore team collaboration
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 COSMOS, Azure Data Factory (ADF), Synapse, Fabric pipelines for batch and incremental ingestion.
Automate ETL workflows and implement parameterized pipelines for scalability.
Data Transformation & Modeling
Develop ETL code / pipelines 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.
Strong in Azure Data Services ADF, Azure SQL database, Synapse
Ability to understand vast amounts of data, identify and fix data issues.


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents)

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