Key skills
ETLNumpyPandasPythonSQLAILLMClaudeNumPyELTLookerBISnowflakeGitGitHubVersion ControlJiraAgileCommunicationCollaboration
About this role
Role Overview
- Gather and document requirements from internal stakeholders
- Define, track, and report on key performance indicators (KPIs)
- Translate business questions into data models, queries, and dashboards
- Prepare clear reports and present findings to technical and non-technical audiences
- Help build and maintain ELT pipelines from Segment into Snowflake
- Monitor and validate event data flowing through Segment — checking completeness, consistency, and correct destination mapping
- Assist with data quality audits across the Segment → Snowflake → Looker stack
- Investigate and document data anomalies and pipeline failures
- Support data model development and maintenance in Snowflake
- Build dashboards and reports in Looker
- Write and optimize SQL queries against Snowflake
- Assist with basic LookML development: views, explores, and measures
- Apply data visualization best practices for clarity and audience fit
- Use AI assistants (Claude, Copilot, ChatGPT) to speed up SQL writing, documentation, and analysis
- Apply text-to-SQL and LLM-based tools for faster data exploration
- Prototype basic AI features: anomaly detection and automated report summarization
- Contribute ideas for AI and automation adoption within the team
- Track tasks and participate in Agile sprints using Jira
- Use Git/GitHub for version control of SQL, LookML, and Python scripts
- Participate in code and dashboard reviews
- Document data models, event schemas, metric definitions, and pipeline logic
Requirements
- SQL fundamentals; Snowflake experience preferred
- Basic Python (pandas, NumPy)
- Git and GitHub basics
- Understanding of ELT/ETL concepts
- Hands-on experience with Looker or similar BI tool
- Ability to build clear, audience-appropriate dashboards
- Basic LookML knowledge or eagerness to learn
- Solid grasp of data visualization best practices
- Basic understanding of CDPs and event tracking
- Familiarity with Segment: sources, destinations, event schemas
- Awareness of PII handling and data governance basics
- Ability to gather, structure, and document requirements
- Comfortable facilitating discussions with non-technical stakeholders
- Strong written communication — able to turn findings into clear narratives
- Analytical mindset: able to ask the right questions and challenge assumptions
- Comfortable using AI assistants for coding, analysis, and documentation
- Basic understanding of LLMs: prompts, context, limitations
- Awareness of responsible AI: privacy, output validation, hallucination risks
- Clear written and verbal communication in English
- Detail-oriented, collaborative, curious, and self-directed
- Comfortable with ambiguity and eager to learn fast.
Tech Stack
- ETL
- Numpy
- Pandas
- Python
- SQL
Benefits
- Work with an established Silicon Valley leader in the cloud infrastructure industry;
- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
- Be a part of cutting-edge, open-source innovation;
- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
- Professional development and training;
- Attend conferences and working groups;
- Company outings, happy hours, hackathons, and tech talks;
- Receive a competitive compensation package with a strong benefits plan.