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Sr. Data Engineer

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Onsite

Sr. Data Engineer

tsworks

Sr. Data Engineer

Skills

SQL QueriesData MiningSnowflakeDatabricksData AnalysisComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


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**About tsworks:

**tsworks is a leading technology innovator, providing transformative products and services designed for the digital-first world. Our mission is to provide domain expertise, innovative solutions and thought leadership to drive exceptional user and customer experiences. Demonstrating this commitment **, we have a proven track record of championing digital transformation for industries such as Banking, Travel and Hospitality, and Retail (including e-commerce and omnichannel), as well as Distribution and Supply Chain, delivering impactful solutions that drive efficiency and growth. We take pride in fostering a workplace where your skills, ideas, and attitude shape meaningful customer engagements.

****About This Role:

    tsworks Technologies India Private Limited is seeking driven and motivated Senior Data Engineers to join its Digital Services Team. You will get hands-on experience with projects employing industry-leading technologies. This would initially be focused on the operational readiness and maintenance of existing applications and would transition into a build and maintenance role in the long run.

Requirements

**Position: Sr. Data Engineer
Experience: 5 to 8 Years
Location: Bangalore, India

**Mandatory Required Qualification

  • Strong proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, etc.

  • Expertise in DevOps and CI/CD implementation

  • Good knowledge in SQL

  • Excellent Communication Skills

    **In This Role, You Will

    • Design, implement, and manage scalable and efficient data architecture on the Azure cloud platform.

    • Develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes.

    • Perform complex data transformations and processing using Azure Data Factory, Azure Databricks, Snowflakes data processing capabilities, or other relevant tools.

    • Develop and maintain data models within Snowflake and related tools to support reporting, analytics, and business intelligence needs.

    • Collaborate with cross-functional teams to understand data requirements and design appropriate data integration solutions.

    • Integrate data from various sources, both internal and external, ensuring data quality and consistency.

    • Ensure data models are designed for scalability, reusability, and flexibility.

    • Implement data quality checks, validations, and monitoring processes to ensure data accuracy and integrity across Azure and Snowflake environments.

    • Adhere to data governance standards and best practices to maintain data security and compliance.

    • Handling performance optimization in ADF and Snowflake platforms

    • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights

    • Provide guidance and mentorship to junior team members to enhance their technical skills.

    • Maintain comprehensive documentation for data pipelines, processes, and architecture within both Azure and Snowflake environments including best practices, standards, and procedures.

      **Skills & Knowledge

      • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
      • 4 + Years of experience in Information Technology, designing, developing and executing solutions.
      • 4 + Years of hands-on experience in designing and executing data solutions on Azure cloud platforms as a Data Engineer.******************

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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