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Data Engineer

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Onsite

Data Engineer

VDart Digital

Data Engineer

Skills

SQL QueriesPythonDatabricksData AnalysisCRMSalesforceOracleSAP ERPPySparkProcess ImprovementAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


Company Description:

VDart Digital is a global leader in digital solutions, product development, and professional services. Headquartered in Atlanta, GA, USA, the company has a robust global presence across North America, Europe, the Middle East, and Asia. VDart Digital specializes in delivering cutting-edge digital transformation solutions, leveraging technologies like AI/ML, blockchain, cloud computing, IoT, and data analytics. Its innovative product portfolio includes offerings such as TestSamurAI, LendSmartAI, IDocLens, and more, which are designed to optimize operations and drive business growth.

Job Title: Azure Data Engineer

Location: Marathahalli, Bangalore

Fulltime

Key Responsibilities:

  • Create and maintain data sources inside our data lake on Azure
  • Assemble and analyze large, complex data sets that meet both functional and non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes; optimizing data delivery; re-designing infrastructure for greater scalability.
  • Work with stakeholders including the Executive, Tech, Product, Data and Design teams to optimize data driven decisions
  • Keep our data separated and secure by understanding and applying best practice access policies
  • Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Ensure data integrity with thorough data quality test coverage and data validation
  • Improve, create and implement CI/CD processes and tooling inside the data lake

Required Qualifications

  • Azure Databricks, Azure Data Factory Minimum 6 Years Hands-on Experience required.
  • Databricks hands on experience (esp. Pipelines PySpark & SQL, Delta Lake, Unity Catalog, DLT*)
  • Ingesting & transforming data using Databricks - Min 3 years continuous hands-on
  • Advanced SQL and Python knowledge
  • Data Lake housing and Modelling experience (e.g. medallion architecture & query performance optimization)
  • Experience with backend systems ERP, CRM (e.g. SAP, Oracle, Salesforce)
  • Exposure of working with Azure (ADLS, ADF)
  • Good Communication skills

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