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Data Engineer

United IT Solutions

Job Description:


We are seeking a highly skilled Data Engineer with strong expertise in SQL, Python, Apache Spark, and hands-on experience with Azure cloud services, including Azure Databricks and Azure Synapse Analytics. The ideal candidate will also have exposure to or interest in AI/ML integration within data engineering pipelines. You will play a key role in building and optimizing data architecture, enabling advanced analytics and machine learning capabilities.


Key Responsibilities:

  • Design, build, and maintain scalable and efficient data pipelines for large-scale data processing.
  • Develop and optimize data workflows using Apache Spark, SQL, and Python.
  • Implement and manage cloud-based data solutions on Azure, including Databricks and Synapse Analytics.
  • Integrate data from multiple sources, ensuring data quality, consistency, and governance.
  • Collaborate with data scientists, analysts, and business teams to support AI/ML initiatives.
  • Monitor and improve data pipeline performance and troubleshoot production issues.
  • Implement best practices in data architecture, security, and compliance.
Required Skills:
  • Strong experience with SQL.
  • Proficiency in Python for data engineering tasks and automation.
  • Expertise in Apache Spark for distributed data processing.
  • Hands-on experience with Azure Databricks and Azure Synapse Analytics.
  • Understanding of data lake, data warehouse, and ETL/ELT concepts.
  • Familiarity with integrating AI/ML models into data pipelines is a plus.
  • Experience with CI/CD for data pipelines is a bonus.
Vacancy posted 4 days ago
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