Tata Consultancy Services
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Thiruvananthapuram · On-site · 7-10 Yrs · 5 days ago
Software Development · 10000+ Employees · Mumbai, India
Hiring: Engineering
What employees say
+ Good work life balance and nice work environment.
− Low hike not more than 7%
More reviews on the company profile.
Interview experience · Data Analyst
2 rounds. 1st round technical power bi and sql like cumulative total. What data sources you used. few scenario based questions, remove duplicate in sql. Optimization of slow performing report
Average difficulty · India · 22,544 reports
More interview insightsJob description
Overview
Azure Data Engineer Opening
Responsibilities
- Design, develop, and maintain scalable data solutions using Microsoft Fabric and Azure Databricks.
- Build and optimize end-to-end ETL/ELT pipelines using Fabric Data Factory, Dataflows Gen2, and Azure Data Factory.
- Develop robust data transformation frameworks using PySpark, Spark SQL, and Delta Lake.
- Implement and manage Lakehouse architecture leveraging OneLake, Delta Tables, and Medallion Architecture (Bronze, Silver, Gold).
- Ingest batch and real-time data from multiple enterprise and third-party sources.
- Perform data modeling and design scalable data warehouses to support business analytics and reporting.
- Monitor, troubleshoot, and optimize Databricks jobs, clusters, notebooks, and Fabric workloads for performance and cost efficiency.
- Implement data quality controls, validation frameworks, and monitoring processes.
- Ensure data security, governance, and compliance using Unity Catalog, RBAC, and enterprise security standards.
- Build and manage CI/CD pipelines using Azure DevOps and Git for automated deployments.
- Provide production support, root cause analysis, and issue resolution for critical data platforms.
- Stay updated with emerging capabilities in Microsoft Fabric, Databricks, Spark, and Azure data services and drive adoption where applicable.
Qualifications
- Strong hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Dataflows Gen2, OneLake, Pipelines, Warehouse).
- Expertise in Azure Databricks and Spark architecture.
- Strong SQL development skills including query optimization and complex transformations.
- Knowledge of ADLS Gen2, OneLake, and data ingestion patterns.
- Understanding of data modeling concepts (Star Schema, Snowflake Schema).
- Unity Catalog implementation and governance experience.
- Azure Synapse Analytics knowledge.
- Real-time streaming using Spark Structured Streaming/Event Hub/Kafka.
- Power BI development and optimization.
- Exposure to AI/ML workloads on Databricks or Fabric.
- Databricks Certified Data Engineer Associate/Professional certification.
- Microsoft Fabric Data Engineer Associate (DP-700).
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Job application FAQ
Last updated 5 October 2026
- How do I apply for Azure Data Engineer at Tata Consultancy Services?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tata Consultancy Services may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Data Engineer remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked on_site with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
- What skills matter for this Azure Data Engineer role at Tata Consultancy Services?
- This is a mid-level Azure Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.