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Hands-on experience with AWS cloud services, including Databricks/Spark, Terraform, Docker containers, ECS, CloudFront, DynamoDB, S3, and Kinesis. Utilize AWS cloud services, including S3, Databricks/Spark, CloudFront, DynamoDB, ECS, Kinesis, to build scalable and resilient solutions.
$75 - $90 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Consulting, Staffing & Staff Augmentation, Managed Services, design thinking, big data, employee engagement, executive hires, digital engineering services, talent development, R&D Labs, Cloud Computing, DataOps, DevOps, RPA, digital transformation, and AIOps.
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Develop and support cloud-based big data pipelinesUse analytics to understand product behavior and motivate data-driven decisions.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
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The Federal Reserve Bank of San Francisco is looking for a Lead Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. We are a team based out of San Francisco that partners with business lines across the Federal Reserve System to deliver the cloud + big data solutions and advanced analytics products.
Starting at $250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Nice to have: Hands-on experience with some of the data analytics products such as Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
$135,700 - $240,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$165,800 - $265,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in data processing pipelines, DAGs, ETLs, feature extraction, and statistical analytics using Python and AWS cloud. Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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As a Senior DevOps engineer, you will play a crucial role in ensuring the ESP software product teams (primarily focused on the Pattern in-house WIS:dom for big data across weather, energy pricing, and geospatial data.
$118,000 - $160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Lead Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda.
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The Principal Software Engineer for the TIDE team, will be at the forefront of crafting a unified developer experience across multiple cloud providers. Proficiency in Golang and Terraform, with hands-on experience in designing and deploying cloud resources using AWS, Kubernetes, and related technologies.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow. As the Lead Data Systems Engineer, you will play a pivotal role in leading our data systems engineering initiatives and driving the design, implementation, and optimization of our data systems infrastructure.
$250ExpandApply NowActive JobUpdated Yesterday
databricks big data engineer aws cloud jobs Title: data engineer Company: Emerald in San Francisco, CA
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