About the role

  • Data Engineer designing and building scalable data pipelines for advanced analytics. Utilizing Azure cloud platforms and industry-leading tools to support client data needs.

Responsibilities

  • Develop, maintain, and optimize reusable, scalable data pipelines that include robust error handling and logging mechanisms.
  • Implement automated notifications and error reporting using Azure Logic Apps and other tools.
  • Collaborate with cross-functional teams to ensure data pipelines align with business objectives and meet performance requirements.
  • Ensure data quality by implementing and maintaining frameworks.
  • Design and implement data models and ETL/ELT processes that enable high-performance analytics solutions.
  • Support the integration and transformation of diverse data sources into unified and consumable formats.
  • Stay up-to-date with the latest advancements in Azure data services, including Microsoft Fabric, to deliver innovative solutions.

Requirements

  • 3-5 years of proven experience as a Data Engineer or in a similar role.
  • Proficiency in designing and implementing data pipelines with tools such as Azure Data Factory and Azure Synapse, preferably within Microsoft Fabric.
  • Strong programming skills in Python (preferable), Spark, Java, or C#.
  • Advanced SQL expertise (T-SQL, PL/SQL) for database design and query optimization.
  • Hands-on experience with cloud data platforms, particularly Azure (Databricks, Synapse, Data Factory, Logic Apps).
  • Familiarity with data quality frameworks.

Benefits

  • Competitive compensation with bonus potential.
  • Comprehensive benefits, including health, dental, and vision coverage.
  • Generous PTO and paid holidays.
  • Certification support, training programs, and professional growth opportunities.
  • Flexible work environment with remote and hybrid options.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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