Tata Consultancy Services
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Kolkata · On-site · 8-11 Yrs · Aug 23
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
Key Responsibilities Design, develop, and optimize end-to-end data pipelines and data integration solutions on Azure.
Responsibilities
- Design, develop, and optimize end-to-end data pipelines and data integration solutions on Azure.
- Build scalable data ingestion, transformation, and processing frameworks using Azure-native services.
- Develop and maintain ETL/ELT processes for structured and unstructured data.
- Design and implement up-to-date data lake, data warehouse, and lakehouse architectures.
- Collaborate with business analysts, data scientists, architects, and application teams to understand data requirements.
- Ensure data quality, governance, security, and compliance standards are maintained.
- Optimize data processing performance, scalability, and cost efficiency.
- Implement data modeling strategies including dimensional and relational models.
- Develop solutions for batch, near real-time, and streaming data processing.
- Automate deployment and monitoring processes using DevOps and Infrastructure as Code principles.
- Create and maintain technical documentation, standards, and best practices.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or related field.
- 8+ years of experience in Data Engineering, Data Warehousing, or Big Data solutions.
- 5+ years of hands-on experience with Microsoft Azure Data Services.
- Robust experience in designing and developing enterprise-scale data pipelines.
- Expertise in SQL and database performance tuning.
- Strong knowledge of data warehousing concepts and dimensional modeling.
- Hands-on experience with Azure data services including:
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS)
- Azure Databricks
- Azure SQL Database
- Azure Event Hub
- Azure Stream Analytics
- Azure Functions
- Azure Key Vault
- Microsoft Fabric (preferred)
- Strong programming skills in Python, PySpark, Scala, or SQL.
- Familiarity with CI/CD pipelines and DevOps practices.
- Robust troubleshooting and analytical skills.
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