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.
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