Job description
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
Requirements
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
Benefits
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
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.