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Experienced in tools and technologies such as gRPC, GCP, BigQuery and Bigtable. Experienced in tools and technologies such as gRPC, GCP, BigQuery and Bigtable. Competitive salary and equity compensation.
$197,000 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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G, BigQuery, Snowflake, Databricks) is advantageous. g, BigQuery, Snowflake, Databricks) is advantageous. As a Staff Engineer, you'll lead the development of our core data platform, shaping its design, implementation, and evolution to meet our dynamic business needs.
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Dev environment (e.g., Docker, Kubernetes, GCP), and databases (e.g., Postgres, BigQuery, dev environment (e.g., Docker, Kubernetes, GCP), and databases (e.g., Postgres, BigQuery, We approach our goals with a beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
$105,000 - $240,000 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with Google & GCP data technologies (BigQuery, Cloud SQL, Data Studio), or equivalent technologies in the market. Experience with Google & GCP data technologies (BigQuery, Cloud SQL, Data Studio), or equivalent technologies in the market.
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You have experience with a wide-range of databases, including relational (PostgreSQL, MySQL), non-relational (BigTable, Cassandra, Redis, etc), and data warehouses (Vertica, BigQuery). You have experience with a wide-range of databases, including relational (PostgreSQL, MySQL), non-relational (BigTable, Cassandra, Redis, etc), and data warehouses (Vertica, BigQuery.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Broad knowledge across data engineering (e.g., ETL/ELT, data modeling), data governance (e.g., data modeling, data classification, data catalog and lineage), batch and real-time streaming data platforms (e.g., Airflow, Spark, Hadoop, Hive, Kafka, dbt), and cloud services (e.g., GCS, BigQuery, Vertex AI, Databricks.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. They enjoy the challenges of consulting and thrive to knock the socks off of clients.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Collect and analyze large datasets from multiple sources (BigQuery, Snowflake, etc.) Experience with one or more business intelligence/data visualization tools required (Tableau, Power BI or Looker Studio preferred.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Experience with cloud platforms such as AWS, Azure, or GCP, and related services (e.g. S3, Snowflake, BigQuery.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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Experience with Looker or similar Business Intelligence solutions; Experience with one or more of the following: Hadoop, Spark, Flume, Hive, Impala, SQL, BigQuery. Experience with integrating multiple BI & data integration tools with BigQuery.
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Expertise working with enterprise data warehousing solutions, like Databricks, Snowflake, and BigQuery. Expertise working with enterprise data warehousing solutions, like Databricks, Snowflake, and BigQuery.
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Familiarity with commercial and/or open-source storage frameworks and compute platforms such as Apache Spark, Apache Flink, and Ray. Knowledge of analytics databases like Snowflake, Redshift, and BigQuery.
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Experience with data warehouses: Snowflake, BigQuery, RedShift. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions.
ExpandUpdated 6 days ago
bigquery job in Sunnyvale, CA
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