Overview
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 le
Full job description
Description
Full 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
Qualifications And Requirements
Mid-Senior level
Requirements & qualifications
Mid-Senior level
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Discovered directly from the employer’s public Workable account endpoint with details=true where supported. Public description, responsibilities, requirements and benefits were normalized into complete candidate-facing sections. Complete structured details were extracted from the public authoritative source while preserving the original application link.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Bitful Consulting Careers ↗Browse current Job and Scholarship listings from Bitful Consulting Careers →
