Data Engineer
Skills
Data EngineeringData IntegrationAnalyticsData AnalyticsData ScienceData VisualizationPython
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree required, preferably in a numerate subject area
- 5+ years of experience in data management and analytics solutions including Snowflake, DBT, SQL, and Python
- Experience with Gitlab or equivalent version control system
- Deep understanding of data engineering, architecture, and systems
- Highly organized and experienced with JIRA
- Understanding of SaaS and/or Enterprise Sales business models
- Familiarity with Enterprise Sales Infrastructure such as Salesforce.com
- Excellent verbal and written communication skills
- Strong analytical skills for summarizing and presenting principles
- Ability to build, document, implement, measure and enhance processes
- Effective prioritization within complex business structures
- Ability to thrive in fast-paced, high-growth environment
Nice to have
- Experience with Tableau
- Business insight and analytical skills
- Excellent communication skills
- Organized and experienced with JIRA
- Experience with Gitlab or version control
- Understanding of SaaS/Enterprise Sales
- Knowledge of Salesforce.com and revenue management
- Documentation skills for processes and procedures
Day to day
- Design and develop go to market analytics using dbt, Snowflake, and Python
- Coordinate analytics deployments with the Analytics Data Platform Team and dashboard delivery with the Tableau engineering team
- Develop a deep hands-on understanding of data and benchmarking
- Ensure alignment with data management strategy and landscape at Splunk
- Monitor and diagnose business performance using data and insights
- Improve systems, process, and data for performance insights
- Lead documentation efforts for GTM metrics
- Support and direct scalable strategies for the business's needs
- Collaborate with operations, analytics, and business alteration teams
- Drive Cloud/Term renewal strategy in collaboration with CSMs, Renewals, Sales, Sales Operations, and Finance
- Prioritize work to positively impact Splunk’s bottom line
