The Data & Analytics team is seeking to add a Senior Data Engineer to our data analytics engineering team.
The data engineer will be a key contributor in building and maintaining end to end analytics solutions based on Microsoft Azure Cloud and Azure Synapse Analytics.
Design, develop, implement, analytics solutions on Microsoft Azure Synapse Analytics Platform.
Provide trouble shooting, analysis and resolutions on existing solutions for routine production support issues as well as major/minor enhancements.
Utilize data preparation, integration, storage & analytics tools within the Azure landscape
Drive toward automation of repeatable data prep tasks to minimize manual data management processes.
Collaborate and partner with cloud service providers, data science, data governance and other IT and business teams in the process of delivering analytics solutions
Participate in MPC’s scaled agile framework for data engineering product delivery by participating in all relevant tasks and ceremonies
Minimum 5 years of hands-on experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solutions
Experience in scaled agile framework for data engineering product delivery
Must have strong Microsoft SQL experience, data modeling, data warehouse and OLAP concepts.
Must have strong experience using Azure Data Lake Storage, Azure Synapse Analytics for data warehousing, Azure Spark Pools, Jupyter Notebook, Cosmos DB, CDC tools, Python
Working experience and exposure to visualization tools such as Microsoft PowerBI, Tableau desired.
Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts is a plus
Experience with Microsoft SSIS, SSRS, SSAS is a plus