Your team will develop datasets that enable data visualization, machine learning and data driven decision making across client product line
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Working with structured and unstructured datasets and automating data pipelines to ingest, analyze, validate, normalize and clean data in a hybrid multi-cloud environment
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Building data ingestion pipelines from multiple data sources using Data Bricks and Apache Spark
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Partnering with analysts, solution architects, modelers and developers to build data product and data pipelines.
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Providing technical and thought leadership
Requirements
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Strong T-SQL Skills with experience in Snowflake
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Familiarity with CI/CD methods
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Significant experience in Python development
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Highly proficient at PySpark development
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Solid grasp of database engineering and design principles
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Current Databricks Certification
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Experience in building business stakeholder relationships at all levels, leadership communications and managing project delivery from design to launch
Benefits
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Education Assistance/Student Loan Repayment - up to $2400 annually