Job Description

As a Data Engineer, your responsibilities include but are not limited to:

• Work with data engineering related groups in the support of deployment of processing jobs
• Design, build and support data processing pipelines and APIs
• Build ETLs/ELTs to extract data from various sources and craft a unified dimensional or star schema data model for analytics and reporting
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for business
• Architect and build data pipelines to optimize for performance, data quality, scalability, ease of future development, and cost
• Work with data science and feature teams to develop and maintain ETL pipelines
• Work closely with the Data Architect and Data Scientists to develop plans to enhance the Data Science practice
• Build tools and datamarts to enable analytics at a deeper level
• Gather requirements, assess gaps and build roadmaps and architectures to help the analytics driven organization achieve its goals
• Develop data-related Proof of Concepts to demonstrate feasibility and value to business users
• Architect, design, develop and engineering end-to-end data pipelines across multiple data sources and systems of record

• 5+ Years as a data engineer or in a similar role
• Technical expertise with SQL Server database, Azure SQL database, Stored Procedures, Azure Data Factory / Synapse, data modeling, data mining, and segmentation techniques
• Hands-on experience with SQL Server database, Azure SQL database, Stored Procedures, Azure Data Factory/ Synapse Pipelines
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field
• Knowledge on variety of data stores in Microsoft Azure stack (e. g., Azure Data Lake, Azure Blob Storage, Azure SQL DW), messaging systems (e.g. Apache Kafka, Azure Event Hubs) and data processing engines (e. g., Apache Spark, Azure HDInsight) is a plus
• Knowledge on PowerBI, Tableau or any other reporting tools
• Strong verbal and written communication skills, with an ability to express complex concepts in clear business terminology