Data Architect

• 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