Sr. Data Engineer-14th Aug(Friday)-Kolkata -6+ Years Virtual Interview

Tata Consultancy Services; Kolkata District; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services in Kolkata is recruiting a Data Engineer with 6–14 years of experience to design and implement ELT pipelines using Azure Data Factory, Databricks and Synapse. You will work on Data Lake architecture, ADLS storage, and modern cloud analytics, collaborating with cross-functional teams to deliver scalable data solutions.

Proficiency in PySpark, SQL and Git for version control is preferred, with strong problem-solving and debugging skills for ETL workflows in a cloud

Qualifications

• 15 years of full-time education required.
• Strong hands-on ELT pipeline development using Azure Data Factory and Databricks Autoloader.
• In-depth knowledge of ADLS, Azure Synapse, Spark and SQL technologies.

Skills

Data Lake architecture

Azure Services ADLS

ADF

Azure Databricks

Synapse

Education

15 years of full-time education

Tools

ADF

ADB

SQL

PySpark

Python

Job description

TCS has been a great pioneer in feeding the fire of Young Techies like you. We are a global leader in the technology arena and there's nothing that can stop us from growing together.

TCS is Hiring for Data Engineer

Experience Range: - 6 To 14 Years

Job Locations: Kolkata

Job Description

Required Skill Set

• Data Lake architecture
• Azure Services ADLS
• ADF
• Azure Databricks
• Synapse

• ADF, ADB, SQL, Pyspark, python
• Good Knowledge of Data Brick lake house and Azure Data Lake concept
• Knowledge of Data Bricks delta concept
• Delta live tables (DLT)
• Strong hands-on experience in ELT pipeline development using Azure Data factory and Databricks Autoloader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task
• Strong knowledge of metadata-driven data pipeline, metadata management, dynamic logic
• In-depth knowledge of data storage solutions, including Azure Data Lake Storage (ADLS), and Azure Serverless SQL Pool.
• Experience with data transformation using Spark, and SQL technologies.
• Solid understanding of design patterns, and best practices of the cloud stack.
• Experience with code management and version control using Git or similar tools.
• Strong problem-solving and debugging skills in ETL workflows and data pipelines.
• Strong understanding of Azure Data bricks and Azure Synapse internals features and capabilities.
• Knowledge of Azure DevOps and continuous integration and deployment (CI/CD) process.
• Knowledge of data quality and data profiling techniques, with experience in data validation and data cleansing.

Minimum Qualification: 15 years of full-time education

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