Lead Data Engineer

10 - 15 years

35 - 40 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role

  • We are looking for a Data Warehouse Engineer with strong expertise across the Azure Data Platform to design, build, and maintain modern data warehouse and analytics solutions
  • This role requires hands-on experience with Azure Synapse Analytics, Data Factory, Data Lake, Azure Analysis Services, and Power BI
  • The ideal candidate will ensure seamless data ingestion, storage, transformation, analysis, and visualization, enabling the business to make data-driven decisions

Key Responsibilities

  • Data Ingestion & Orchestration 10-15years of experience in designing and building scalable ingestion pipelines using Azure Data Factory
  • Integrate data from multiple sources (SQL Server, relational databases, Azure SQL DB, Cosmos DB, Table Storage)
  • Manage batch and real-time ingestion into Azure Data Lake Storage
  • Data Storage & Modelling Develop and optimize data warehouse solutions in Azure Synapse Analytics
  • Implement robust ETL/ELT processes to ensure data quality and consistency
  • Create data models for analytical and reporting needs
  • Data Analysis & Security Build semantic data models using Azure Analysis Services for enterprise reporting
  • Collaborate with BI teams to deliver well-structured datasets for reporting in Power BI
  • Implement Azure Active Directory for authentication, access control, and security best practices
  • Visualization & Business Support Support business teams in building insightful Power BI dashboards and reports
  • Translate business requirements into scalable and optimized BI solutions
  • Provide data-driven insights in a clear, business-friendly manner
  • Optimization & Governance Monitor system performance and optimize pipelines for efficiency and cost control
  • Establish standards for data governance, data quality, and metadata management

Qualifications & Skills

  • Bachelor s or Master s degree in Computer Science, Data Engineering, Information Systems, or related field
  • Proven experience as a Data Warehouse Engineer / Data Engineer with strong expertise in: Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Azure Analysis Services Azure SQL Database / SQL Server Power BI (reporting & dashboarding) Strong proficiency in SQL and data modelling (star schema, snowflake schema, dimensional modelling)
  • Knowledge of Azure Active Directory for authentication & role-based access control
  • Excellent problem-solving skills and ability to optimize large-scale data solutions
  • Strong communication skills to collaborate effectively with both technical and business stakeholders

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Savigent Software

Manufacturing

Indianapolis

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