Decision Scientist
, Snowflake, Databricks, Fivetran). Strong communication and storytelling skills with the ability to present complex analyses clearly. Experience in SaaS, product analytics, or EdTech environments is a plus.
214 posted in the last 30 days, in 30 days, 675 open. How we choose them.
Beta: four boards today, and the Best match order may still move.
updated 7h ago
, Snowflake, Databricks, Fivetran). Strong communication and storytelling skills with the ability to present complex analyses clearly. Experience in SaaS, product analytics, or EdTech environments is a plus.
This team builds and maintains the infrastructure that powers Samsara’s data lake, distributed compute platform, and the systems that move data from our production data stores into our lakehouse.
, Snowflake, BigQuery, Databricks). Experience building batch pipelines using DAG-based orchestrators (e. g. , Dagster, Airflow). Experience with event-driven architectures using Kafka, Kinesis, or Event Hubs.
Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake). Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality.
Tines serves a diverse range of customers, from startups to public companies, including Canva, Databricks, Elastic, Kayak, Intercom, and McKesson. As an integrator across the entire tech stack, Tines is vendor-agnostic integrating with any API-enabled service.
Data integration engineer specialized in designing, developing, and operating enterprise data pipelines on ETL tools; Informatica IDMC (Intelligent Data Management Cloud / IICS) as the primary platform, with strong capabilities in feeding the Databricks Lakehouse.
Have experience with Python for building automations, working with application programming interfaces (APIs), and connecting systems, along with go-to-market tools such as Salesforce, Snowflake, Databricks, dbt, or business intelligence platforms.
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