Azure Data Engineer

1 week ago

New Delhi, India Infinova Global Corporate Services LLP Full time

About InfinovaInfinova is a global leader in intelligent business transformation, helping organizations scale smarter and achieve sustainable success. We combine strategic consultancy, financial expertise, and technology-driven solutions to deliver measurable growth and operational efficiency.Our services include AI-powered business consultancy, talent solutions, and advanced technology development, enabling businesses to convert data into actionable intelligence, optimize performance, and embrace innovation. With a commitment to transparency, quality, and future-ready strategies, Infinova ensures every partnership delivers lasting impact.Role DescriptionWe are seeking a skilled and motivated Azure Data Engineer to join our data team in the UAE. In this role, you will be responsible for designing, developing, and maintaining scalable data solutions on Microsoft Azure. You will work closely with data scientists, analysts, and other engineers to ensure robust data pipelines and infrastructure that support our business intelligence and analytics initiatives.Key Responsibilities- Design, build, and optimize large-scale data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and Databricks. - Develop and manage data lakes and data warehouses on Azure. - Ensure high performance, availability, and reliability of data systems. - Integrate structured and unstructured data from multiple sources using Azure services. - Implement and enforce data governance, data quality, and data security practices. - Collaborate with cross-functional teams to understand business requirements and translate them into data engineering solutions. - Monitor and troubleshoot performance issues related to data workflows and storage. - Automate data ingestion, transformation, and orchestration processes. - Maintain documentation related to data models, processes, and infrastructure.Qualifications- Bachelor’s degree in computer science, Information Systems, Engineering, or related field. - 3+ years of hands-on experience as a Data Engineer, with at least 2 years on Azure. - Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database. - Strong experience with SQL and Python or Scala. - Familiarity with big data tools such as Apache Spark, Databricks, or similar technologies. - Knowledge of CI/CD pipelines and version control (e.g., Git). - Experience with data modeling, schema design, and data warehousing concepts. - Strong understanding of cloud security and data privacy standards.

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