Business Intelligence Engineer

3 weeks ago

Gurugram, India Majid Al Futtaim Full time

Job Summary:


We are seeking a highly skilled BI Engineer with expertise in Data Warehouse, Azure platform , SAP Data Services, SAP Business Objects to join our growing data engineering team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines that support our data-driven initiatives. You will work closely with cross-functional teams, including data architects, data analysts, and business stakeholders, to ensure efficient data integration, transformation, and delivery.


Key Responsibilities:

  • Design, develop, and optimize ETL pipelines using SAP Data Services and Azure Platform to support data integration and transformation processes.
  • Architect and implement scalable data solutions in Azure, including Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
  • Manage and maintain SAP Data Services infrastructure, ensuring high availability and performance.
  • Proficiency in SAP Business Objects tools (e.g., Web Intelligence, Crystal Reports, Analysis for Office, and Dashboards).
  • Collaborate with business stakeholders and data architects to understand data requirements and translate them into technical specifications.
  • Ensure data quality, integrity, and security across all data pipelines and integrations.
  • Develop and maintain data models for both structured and unstructured data in Azure.
  • Lead data migration projects from on-premise systems to Azure cloud infrastructure.
  • Implement and enforce best practices for data governance, metadata management, and data lineage.
  • Monitor, troubleshoot, and resolve issues in ETL workflows and data processes.
  • Manage DevOps operations to automate deployment processes and ensure continuous integration and delivery (CI/CD) for data pipelines.


Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  • 5+ years of experience in data engineering, with at least 3 years working with SAP Data Services .
  • Strong hands-on experience with Azure platform including:
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Lake Storage (ADLS)
  • Deep knowledge of ETL/ELT development and data pipeline architecture.
  • Experience with SQL and NoSQL databases , including performance optimization and query tuning.
  • Experience with reporting and analytics development .
  • Solid understanding of data warehousing concepts and design principles.
  • Proficiency in programming languages such as Python, Scala, or Java .
  • Familiarity with DevOps tools like Azure DevOps, Terraform, Jenkins for CI/CD pipeline management.
  • Experience with data migration projects from legacy systems to cloud platforms, particularly Azure.
  • Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

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