Must Have:

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  SQL (advanced querying, reconciliation, large datasets)
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  Python (data pipelines, API integrations, automation)
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  API integrations (REST, GraphQL)
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  Cloud platforms (AWS S3, Lambda, Glue or similar)
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  Data warehouse (Snowflake, Databricks, Redshift, BigQuery)
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  BI tools (Tableau or Looker or Power BI)
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  dbt (data transformation)
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  Workflow orchestration (Airflow or Databricks Workflows)

Responsibilities:

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  Build and maintain partner data pipelines across APIs, S3, and event flows
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  Develop Python and SQL scripts for ingestion, transformation, and delivery
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  Own partner integrations including onboarding, monitoring, and issue resolution
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  Build dashboards for subscriber metrics, revenue, and partner performance
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  Perform analysis on funnel, retention, billing, and attribution
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  Troubleshoot data discrepancies and manage incident response
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  Define KPIs, data models, and integration specifications
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  Support QA and UAT for integration releases
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  Work with Product, Engineering, Finance, and external partners

Qualifications:

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  5+ years in analytics engineering, data engineering, or similar
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  Strong experience with SQL, Python, and cloud data platforms
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  Experience with API integrations and file-based data exchange
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  Hands-on dashboard development for business users
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  Experience managing partner or vendor data integrations end-to-end
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  Strong experience with data pipelines, monitoring, and troubleshooting

Nice to Have:

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  Subscription or streaming domain experience
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  Billing systems (Stripe)
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  Event streaming (Kafka, Kinesis)
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  Data governance and compliance exposure