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Lead Data Engineer

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Onsite

Lead Data Engineer

Providence College Of Engineering

Lead Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonData VisualizationC#MicroservicesDatabricksData AnalysisAWSKubernetesServiceNowPower BIAzure

8 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Experience working in Agile / sprints in a global team setup .
  • Bachelor s Degree in Computer Science,Data Analytics,Business Management,or IS .
  • Minimum 6-9 years of experience in Azure Data Engineering .
  • Working experience in writing scripts on C# or similar languages for API development . .

What will you be responsible for

  • Strong knowledge of SQL, Azure SQL, TSQL
  • Strong knowledge of database, datawarehouse and data analysis
  • Strong knowledge of Databricks, python, spark.
  • Working experience in writing scripts on C# or similar languages for API development
  • Integrate unstructured data from multiple systems to create a single source of truth
  • Develop, monitor, and manage report curation and data modeling
  • Creating/implementing/Adopting API Governance and Standards for Data Analytics
  • Creating APIs to integrate unstructured data from a variety of systems to create a single source of truth (SailPoint, ServiceNow, Project Online, ADO, Intune, Azure licensing, and other systems of records for single/bi-direction data sets)
  • Working on Azure Services like Azure Data Factory, Azure Workbook, Log Analytics, Azure Functions, and other data analytics tools
  • Leveraging various Azure Services such as Azure Storage, Logic Apps, Data Factory, Azure SQL SaaS, Runbooks, Automation, Graph API, and various other data tools Developing/maintaining microservice automation (Prisma Cloud/Kubernetes)
  • Working experience in data visualization, PowerBI, writing complex SQL queries

What would your day look like

  • Work closely with service teams to determine project engagement and priority, business data reporting and analysis requirements
  • Gather Requirements, Data analysis and modelling
  • Create scripts to support enhancements
  • Work with external vendors on bi-directional API integrations
  • Collaborate with DWH and Reporting teams on data analysis and integrity
  • Gather requirements, develop, and implement solutions across all endpoint technologies in the Microsoft stack

Who we are looking for

  • Minimum 6-9 years of experience in Azure Data Engineering
  • Minimum 6-9 years of experience in BI Development
  • 6-9 years of experience working in cloud technologies such as Azure/AWS/Google cloud service
  • Experience with Apache Spark and Azure Databricks
  • Working knowledge of Microsoft Fabric
  • Ability to troubleshoot technical problems, demonstrate problem solving
  • Ability to effectively communicate and excellent interpersonal skills
  • Experience working in Agile/sprints in a global team setup
  • Bachelor s Degree in Computer Science, Data Analytics, Business Management, or IS

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