What are the responsibilities and job description for the Data Engineer position at GENESYS Consulting Services, Inc.?
This is a permanent position. Not open for Corp to Corp or third parties.
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 Services, Inc. is proud to be an equal opportunity employer.
