Data Engineer - Genesys Consulting Services : Job Details

Data Engineer

Genesys Consulting Services

Job Location : Albany,NY, USA

Posted on : 2025-02-25T13:25:24Z

Job Description :

Key Responsibilities

  • Lead the design and implementation of Microsoft Fabric-centric data platforms and data warehouses.
  • Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions.
  • Ensure data integrity, quality, and governance throughout Microsoft Fabric environments.
  • Collaborate with stakeholders, analysts, and architects to translate business needs into actionable data solutions.
  • Troubleshoot and optimize existing Microsoft Fabric implementations for enhanced performance.
  • Test, monitor, and ensure compliance with best practices in data analytics and quality management.

About you:

  • Experience translating business requirements to technical requirements.
  • Proficiency in programming languages commonly used in data engineering (e.g., Python, Java, Scala).
  • Strong knowledge of database systems, data modeling techniques, and SQL proficiency.
  • Proficiency with ETL tools commonly used in data engineering (e.g., SSIS, Databricks, Azure Data Factory).
  • Strong working knowledge and experience with Microsoft Azure services and tools including Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure SQL Database, and Azure Databricks.
  • Experience using a work management tool such as Azure DevOps.

Preferred/Desired Qualifications

  • Microsoft Certified: Fabric Data Engineer Associate.
  • Microsoft Certified: Fabric Analytics Engineer Associate.

Education and Experience

  • Bachelor's degree in computer science, engineering, information systems, or related field. Master's degree preferred. A minimum of five years of experience in information technology with at least two years of the following:
  • Experience in business analytics, data science, software development, data modeling, or data engineering work or equivalent experience.
  • Experience manipulating and transforming data in Spark SQL, PySpark, or Spark Scala, or a minimum of two years of experience manipulating and transforming data in T-SQL.

GENESYS Consulting Servcies, Inc. is proud to be an equal opportunity employer.

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