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Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide advisory and implementation services of large-scale data ecosystems, including data management, governance and the integration of structured and unstructured data to help companies unlock the value of big technology investments.
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Knowledge of SQL and one or more big data warehouse technologies e.g. Snowflake, Databricks, Redshift. Experience with delivering large scale enterprise applications using big data tech such as S3, Hadoop, Spark.
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Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
$139,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Software development experience in big data technologies Databricks, Hadoop, Hive, Spark(PySpark) Expertise in developing big data pipelines using technologies like Kafka, Storm.
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Anchored by big data management and refined by artificial intelligence and machine learning, the Anomali platform delivers proprietary capabilities that correlate an extraordinary volume of telemetry from customer-deployed security solutions with the largest repository of global intelligence, empowering security operations teams to detect threats with precision, optimize response, achieve resiliency, and stop attackers and breaches.
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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), NoSQL (such as DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
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Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Defining governance and roadmaps for data analytics projects. Automation and orchestration experience with Visual Studio/VS Code, Azure Data Studio, Git, Azure DevOps, Ansible, Bicep, or Terraform is a plus.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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It Will Be Great if You Have: Experience working as in-house counsel for a nonprofit organizationKnowledge of contracts and business law, compliance, privacy, data protection, ERISA, and non-profit law and governance.
$151,830 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will need a wide-ranging background in system development for data center controls systems, IT infrastructure, networking, facility operations, electrical switchgear and generator automation, project management and strong leadership skills.
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Work on core data access control and governance features for Polaris, including fine-grained permissions such as row-level security, column masking, and multi-cloud federated access control.
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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Job Title: Azure Data Engineer. Data Engineer with 5-8+ years experience in an enterprise environment. Expert experience working with Azure data stack - Azure Data Factory, Azure Data Lake, Azure Databricks, Azure SQL, Azure DevOps.
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big data governance jobs Title: data engineer in Seattle, WA
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