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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating production data pipelines, with strong skills in SQL and Python for data processing and analysis. Proficient in Snowflake management, workflow orchestration, and data quality assurance to enhance data accessibility and reliability.
Highest-signal resume keywords
SQLPythonSnowflakeWorkflow OrchestrationData Quality Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentBatch and Streaming PipelinesChange-Data CaptureSchema EvolutionData Modeling
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
AirflowDbtKafkaApache IcebergSpark
Industry Keywords
Data Quality ChecksData ObservabilityUsage MeteringBilling DataRevenue Analysis
Tech Stack
Tools & technologiesAirflowApacheKafkaPythonSparkSQL
About the role
Key responsibilities & impact- Build and run the internal data platform supporting product usage, revenue, and cost analysis
- Build batch and streaming pipelines connecting operational databases, product events, billing systems, and external sources
- Implement change-data capture, schema-change handling, idempotent processing, and safe backfills
- Operate and improve Snowflake, including access controls, workload management, query performance, and compute and storage costs
- Improve orchestration and deployment workflows for safe pipeline testing, shipping, and debugging
- Build data-quality checks for stale, missing, duplicated, or inconsistent records
- Collaborate with analytics engineers and data scientists on shared data models, source definitions, and documentation
- Clarify dataset ownership and upstream dependencies
- Reduce recurring manual work and build reusable tools for self-service data access
- Participate in production support and incident response; restore data flow, reconcile affected datasets, and fix recurring failure causes
- Within three months, own a production pipeline and ship an improvement to freshness, reliability, or operating cost
Requirements
What you’ll need- Experience independently building and operating production data pipelines and the infrastructure around them
- Strong SQL and Python skills, including testing, debugging, and maintainable software design
- Experience with Snowflake or a comparable warehouse, including performance tuning and access management
- Experience with workflow orchestration and transformation tools such as Airflow and dbt, or equivalent systems
- Understanding of data modeling, incremental processing, schema evolution, and data-quality testing
- Ability to trace a data discrepancy from a downstream report back to its source, explain the cause, and fix it
- Ability to turn recurring requests into reusable datasets or tooling and make trade-offs clear
- Blockchain experience is not required
- Helpful: Kafka, database replication, or change-data-capture systems
- Helpful: Apache Iceberg, Spark, Trino, or other lakehouse and query technologies
- Helpful: Infrastructure as code, data observability, lineage, and disaster recovery
- Helpful: Usage metering, billing and revenue data, or semantic layers for self-service analytics
- Legally authorized to work in the country where the role is based
- Able to work in person three days per week
Benefits
Comp & perks- Offers Equity
- Offers Bonus
- Private Health Insurance
- Gym Reimbursement
- Commuter Benefits
- Flexible Time Off
- In-Office Group Meals
- Learning & Development Stipend
- Company Sponsored Conferences & Events
- Books & Audiobook subscription with Bookster