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Position Summary: We are seeking a skilled and motivated Connections Engineer with expertise in Snowflake or BigQuery to join our Data Engineering team. Implement and manage data connections and integrations using Snowflake or BigQuery, ensuring optimal performance and reliability.
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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N analyzing performance and squashing tricky bugs using tools like Snowflake, Airflow, DBT, SQL, Python, Looker, and Datadog n. Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. A self-driven backend engineer, with a desire to work in a fast-paced, iterative, and collaborative environment.
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.
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As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle’s infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
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Experience with modern analytical data warehouses such as Snowflake, BigQuery, and Redshift. This role will drive the development of our marketing automation technology using Salesforce Data Cloud, Flows, core CRM, and partner data platform technologies from Amazon Web Services, Snowflake, Google Cloud, and many more.
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Minimum 5 years of experience as a Data Engineer, with a focus on Snowflake, IDMC, and Airflow. Design and implement Snowflake schemas (e.g., star schema, snowflake schema) for efficient querying.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas. Lead Machine Learning Engineer.
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Experience with Android development, Flutter, Kotlin. Expertise in server-side software development in Golang (or other languages, e.g. Rust, C. Experience with Postgres, Redis, Kafka, Airflow. Experience with distributed systems, microservices architecture, cloud platforms (AWS, Azure or GCP) and RESTful APIs.
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The Senior Analytics Engineer is responsible for integrating data into the Enterprise Data Warehouse (EDW) from various internal and SaaS sources using a cloud ELT platform, AWS Lambda/Glue, and Python to support downstream teams with reporting (Snowflake, Databricks or Redshift.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. Work closely with other engineers to enhance infrastructure, improve reliability and efficiency.
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Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. Experience with Data warehouses like Snowflake, BigQuery, Object Storage like S3.
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Senior Site Reliability Engineer (III) Staff Site Reliability Engineer (IV) Senior Site Reliability Engineer. Staff Site Reliability Engineer.
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Work closely with the Analytics Engineering, Business Intelligence, and Data Science teams to support our modern data stack infrastructure (Fivetran, dbt, Snowflake, Thoughtspot, Airflow, AWS, Atlan.
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snowflake job Title: site reliability engineer in San Francisco, CA
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