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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. A robust understanding of core data engineering topics - ETL vs ELT, structured and unstructured data, data quality and data governance.
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The teamThe US data engineering chapter is a professional practice of data and data quality engineers. Excellent knowledge of and proven experience with our core languages for data engineering SQL or Python.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive hands-on experience in Azure Databricks fundamentals/architecture, including setting up and optimizing Azure Databricks clusters and modules (Data Engineering, ML, and SQL warehouse.
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5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena, Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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This is a hands-on process engineering role- that means getting your hands dirty with design-of-experiments, analyzing data, research, and processing (we bring up our interns on most of our tools and allow them to use them independently- dry etch, deposition, metrology.
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Minimum of FOUR (4) years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Demonstrated experience in data governance, data quality management, and data security practices.
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Minimum of five (5) years previous Solutions Engineering with demonstrable success in Cloud Security, Privileged Access Management, Application GRC, and/or Identity Governance and Administration solutions.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Hands on Data Engineering Director / Analytics / Onsite in Los Angeles / Relocation package. Data Engineering experience. This person ideally has experience in the gaming industry and has a very high level understanding of segmenting game data and user data.
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Hands-on characterization and interpretation of process data, magnetic performance and other critical to quality metrics. Minimum of 2 years of experience in materials-related industry with an MS/PhD or minimum of 4 years of experience with a BS.Science or engineering background in a relevant fieldStrong experimental and laboratory skills, such as design of experiments, analytical and tool method development, data analysis.
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Field experience: hands-on solar, electrical panel wiring, or related electrical installation; familiarity with utility and field metering and data collection software. Hands on experience with mechanical systems (HVAC, automotive, industrial, construction, etc.
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We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team. The ideal applicant will have demonstrated experience creating and deploying data solutions on Azure data services and Databricks , as well as a good understanding of data architecture principles.
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Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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hands on data engineering governance jobs Company: Mathematica in Parkville, Maryland
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