Job Description

DATA ENGINEER

Key Responsibilities:

  • Collaborate with data architects, analysts, and business stakeholders to understand data requirements and design scalable solutions.
  • Develop and maintain data pipelines using Azure Data Factory, Azure Synapse Analytics, and other relevant Azure services.
  • Work with Microsoft Fabric to build, manage, and optimize data flows and fabric components for seamless integration and data processing.
  • Implement data ingestion processes from various sources, including on-premises databases, cloud platforms, and third-party APIs.
  • Assist in data transformation, cleansing, and aggregation processes to ensure high data quality and consistency.
  • Support the creation of data models and schemas that facilitate efficient querying and reporting.
  • Perform data validation, troubleshooting, and optimization of ETL/ELT processes.
  • Contribute to the deployment and management of data solutions in a cloud environment, ensuring performance, scalability, and security.
  • Stay up-to-date with the latest advancements in Azure data services and provide recommendations for continuous improvement.

Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
  • 1-2 years of experience working with data engineering, preferably in a cloud environment.
  • Hands-on experience with Azure data services, including Azure Synapse Analytics and Azure Data Factory.
  • Familiarity with Microsoft Fabric and its components is highly desirable.
  • Strong experience in Microsoft Power BI.
  • Proficiency in SQL and experience with data modeling concepts.
  • Understanding of ETL/ELT processes and data pipelines.
  • Basic knowledge of cloud data governance, security, and compliance in a cloud environment.
  • Strong problem-solving skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Experience with Python or other scripting languages for data processing.
  • Familiarity with Power BI for data visualization and reporting.
  • Certification in Azure Data Engineering or related Azure certifications.