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You’ll write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions.
$150,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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Advanced experience with quantitative analysis software (e.g., R, Stata), data visualization and mapping software (e.g., Tableau, Power BI, ArcGIS), and online survey software (e.g., Qualtrics) is required.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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ASG provides a broad range of healthcare technology related services such as software development and integration, mobile apps, AI/ML, Analytics, Data Science, Bigdata, DevSecOps, Digital transformation, cloud, and cybersecurity.
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The eDiscovery & Data Solutions Analyst is responsible for assisting with litigation automation, implementation of eDiscovery solutions, and providing support and administration of e-discovery and litigation support applications and systems as directed by the eDiscovery & Data Solutions Assistant Managers.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business.
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Collaborate with Cepheid’s Chief Privacy Officer and intellectual property (IP) attorneys on privacy and cybersecurity – including privacy / cybersecurity by design in product development – as well as appropriate use / incorporation of third-party data / software.
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Data Storage: Hadoop, Apache Spark, Apache Kafka, Elasticsearch, Cassandra, DynamoDB, MySQL, PostgreSQL. Certifications in AWS Certified Data Engineer and AWS Certified Big Data. Data Storage: Hadoop, Apache Spark, Apache Kafka, Elasticsearch, Cassandra, DynamoDB, MySQL, PostgreSQL.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Company: Iqvia Holdings Inc in Mclean, VA
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