Develop datasets for data visualization and machine learning. Build data ingestion pipelines using Data Bricks and Apache Spark while partnering with various stakeholders.
- Your team will develop datasets that enable data visualization, machine learning and data driven decision making across client product line
- Working with structured and unstructured datasets and automating data pipelines to ingest, analyze, validate, normalize and clean data in a hybrid multi-cloud environment
- Building data ingestion pipelines from multiple data sources using Data Bricks and Apache Spark
- Partnering with analysts, solution architects, modelers and developers to build data product and data pipelines.
- Providing technical and thought leadership
- Strong T-SQL Skills with experience in Snowflake
- Familiarity with CI/CD methods
- Significant experience in Python development
- Highly proficient at PySpark development
- Solid grasp of database engineering and design principles
- Current Databricks Certification
- Experience in building business stakeholder relationships at all levels, leadership communications and managing project delivery from design to launch
- Education Assistance/Student Loan Repayment - up to $2400 annually
- Remote work allowance
- Internet reimbursement
- Bench pay
- Profit share
- Healthcare reimbursement
- 401k - 4% match
- Short-Term disability
- Long-Term disability
- Life Insurance
Top Skills
Ci/Cd
Databricks
Pyspark
Python
Snowflake
T-Sql
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Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
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