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Azure Data Engineer

2 months ago

Dubai, Dubai, United Arab Emirates Talent Pal Full time
About the Role

We are seeking an experienced Azure Data Engineer to join our team at Talent Pal. As a key member of our data engineering team, you will be responsible for designing, developing, and implementing data governance and analytics solutions using Azure data platforms.

Key Responsibilities
  • Partner with product owners, scrum masters, and solution architects to deliver data-driven solutions.
  • Understand business requirements and design technical solutions to meet those needs.
  • Responsible for governance of technology implementation of solution designs.
  • Work with internal and external implementation team members and partners to contribute to the development, testing, and deployment of solutions.
  • Adhere to software development and maintenance standards by maintaining a comprehensive knowledge of internal and external development best practices.
  • Estimate and deliver multiple project assignments and system change requests as per agreed resourcing and timelines with required quality.
  • Perform detailed analysis of structured, semi-structured, and unstructured data sources for quality, completeness, and business value.
  • Responsible for governance and implementing robust data pipelines using Microsoft toolset and Databricks.
  • Responsible for creating reusable and scalable data pipelines.
Requirements
  • Expertise in Azure Stream Analytics is desirable.
  • Knowledge on Scala is desirable.
  • Strong analytic skills related to working with unstructured datasets.
What You'll Need
  • Expertise in data ingestion, data processing, and analytical pipelines for big data, relational/non-relational databases, and data warehouses solutions.
  • Experience in designing and hands-on development in cloud-based analytics solutions.
  • Designing and developing warehouses solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services.
  • Build workflows using data from a wide variety of sources, including on-premise databases and external data sources with REST APIs and harvesting tools.
  • Knowledge of DevOps processes (including CI/CD) and Infrastructure as code is essential.
  • Hands-on experience with Agile software development.
  • Thorough understanding of Azure/AWS Cloud Infrastructure offerings.
  • 8 years of experience in Azure and Databricks.
  • Minimum 5 implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.
  • Bachelor's degree in Computer Science or allied field of study.
  • Knowledge of SAP, IS Auto, SAP FICO, SAP BW/BO, Tableau, Power BI, Scala will be considered as added advantage.
  • Certification on Azure platform toolsets will be considered as added advantage.