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Tata Consultancy Services · Kolkata

# Data Engineer

Kolkata Data & Analytics 

Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since.
[Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/422838J)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Data Engineer

## Job description

### TCS- WALKIN DRIVE KOLKATA JD

Desired Competencies (Technical / Behavioral Competency) Must-Have
- Design, develop and implement data pipelines to perform (ETL) from multiple sources into Azure Services.

### Experience on Azure Data & Analytics PaaS Services
- Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics and Azure SQL DB, etc.
- Proficiency in programming languages (e.g., Python, SQL, PySpark etc.) and data manipulation tools.
- Manage Azure Data Storage Solutions including Azure Data Lake, different databases.
- Knowledge of DevOps tools
- Manage and monitor the health of data integration processes, troubleshooting
- Experience in Data Migrations (Perform Data Migrations to Azure from on-premises or other platforms)
- Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps.
- Experience with exposing data to end-users via Power BI, Azure API Apps.
- Understanding of on-premises and cloud-based data architecture and integration.
- Knowledge of DevOps practices and tools.

### Good-to-Have
- Knowledge of integrating different systems

## Qualifications

BACHELOR OF ENGINEERING

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Aug 1, 2026
- Last checked: Aug 1, 2026
- Listed for: Under a day
- Location: Kolkata[Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/422838J)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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