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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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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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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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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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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Experience using data visualization tools such as Tableau, Qlik, or Power BI.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Understanding of verification processes for certified industriesUnderstanding of software design patterns, coding standards, and agile software development principlesLeadership, Program Management, Project Management, and/or Team Lead skillsExperience with Databricks, Tableau, PowerBI, or other data management toolsMultidisciplinary experience, proficiency in engineering skills used to craft, develop, and evaluate software/electrical/mechanical/operational systems.
$239,127 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with data integration tools (e.g., ODI, Informatica, Databricks) is a plus. Data Governance & Compliance: Ensure that data projects adhere to company data governance policies and compliance requirements.
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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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General familiarity with the disciplines necessary for spacecraft flight including; structures, propulsion, avionics, GNC, flight software, dynamics, launch and mission operations, and integration.
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O Data & Analytics, Reporting & Dash boarding, Governance & policy management. Experience with TMF architecture & Integration standards- ODA, NaaS, Open API Experience in e-commerce and Omni-chanel transformations, Customer experience.
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Opportunities are offered in a variety of disciplines including Application Development, Cybersecurity, Data Science and Business Analytics, Information Protection, Network Design, Product Management, Project Management, Systems Analysis, Systems Architecture, Systems Integration, and User Experience Design.
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Utilize experience with large data sets using tools like SQL, Hadoop, Spark, BigTable or DynamoDB. Utilize experience with data science frameworks such as TensorFlow, Spark/MLlib or similar experience coding in R, Python, Java, and Go. Telecommuting is an option.
$160,778Full-timeExpandApply NowActive JobUpdated Today
big data governance integration jobs Title: data engineer in Seattle, WA
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