Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Management Information Systems, Mathematics, or a similar analytical field
• 4+yrs in related technical roles, 1+ in management or team leadership
• Experience hiring, developing, and managing a technical team
• Provide primary operational support and engineering for multiple large-scale distributed software applications
• Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark)
• Experience building ETL / ELT ingestion pipelines with tools like Data Stage, Informatica, Matillion
• Advanced knowledge of SQL and tuning SQL, including analysis of query plans
• Working knowledge of data visualization tools
• Experience with business intelligence/data analytics
• Cloud experience on Snowflake or AWS (Azure, and GCP are nice to have as well)
• Experience and expertise in Python and familiarity with the application of modern data science language is a plus
• A proactive approach to identifying problems, performance bottlenecks, and areas for improvement
• Run the production environment by monitoring availability and taking a holistic view of system health
• Management skills (people and agile projects)
• Advanced English

• Comprehensive health insurance
• Competitive meal allowance
• Annual bonus opportunities
• 22 days of paid time off, plus 2 additional days (your birthday and Christmas Eve)
• Initial home office budget
• Work from home allowance
• Technical training and certification programs