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Experience with modern analytical data warehouses such as Snowflake, BigQuery, and Redshift. Expertise in data modeling, data warehousing, data processing frameworks (Spark, Hadoop), real-time streaming technologies (Kafka), and AI/ML platforms (TensorFlow, PyTorch.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); 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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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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Senior Site Reliability Engineer (III) Staff Site Reliability Engineer (IV) Senior Site Reliability Engineer. Staff Site Reliability Engineer. Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers.
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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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12+ years experience as a Data Architect, Data Engineer, or similar role with a focus on data warehousing and marketing data analytics. Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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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.
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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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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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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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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.
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Utilize programming languages like Python, Java, Scala, and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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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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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 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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snowflake warehousing jobs Title: reliability engineer in San Francisco, CA
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