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Job Description

About Infinova

Infinova 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 Description

Azure Data Engineer

 

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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