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Experience with Data Governance, Data Quality, and Access Management tooling such as as Collibra, Alation, Ovaledg,Informatica tool suite (Axon), Informatica Marketplace. Partner with Legal/Compliance, IBT, People Analytics teams and business leaders to ensure governance of reporting and analytics and adherence of confidential HR data management standards.
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Join us in a dynamic role as a Databricks data engineer, where you'll dive deep into the heart of cutting-edge data infrastructure within Azure's cloud environment. As a pivotal member of our team, you'll craft and manage data ecosystems on the Databricks platform, ensuring they soar to new heights of efficiency and innovation.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Oversees system integration, data migration, data replication/archiving, or other activities engaging GDOT IT resources. Ensures delivery of all required work items and deliverables, including system security plans or orderly removal of GDOT users/data upon contract termination.
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A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling complex data engineering problems, as well as shaping the future infrastructure of JumpCloud’s data engineering, performance reporting and data governance.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
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Working knowledge of Azure data platform – data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, etc. Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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PreferredExperience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferredExperience working with Apache Spark preferredExperience preparing data for analytics and following a data science workflow to drive business results preferredConsulting experience strongly preferredWillingness to travel.
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As part of the Data & Analytics Practice within IT, the Senior Data Analyst acts in a consultative role with respect to other areas of the business; because of this, it is required to have/develop both specialized knowledge of PT Solutions business, as well as generalized knowledge of various practice data operations (e.g., Finance, Clinical Operations, Talent Acquisition, etc.
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Master's degree in Bioinformatics, Mathematics, Biostatistics, Physics, Analytics, Computer Science, Data Science, Epidemiology, or Life Science or Doctorate degree in Bioinformatics, Mathematics, Biostatistics, Physics, Analytics, Computer Science, Data Science, Epidemiology, or Life Science.
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Experience with marine mammal and sea turtle stranding data. Successful applicants will provide spatial analysis and GIS services to the OWEB, with the goal of providing data and expert support for marine spatial planning of NOAA's trust resources in the Greater Atlantic Region (GAR) as it relates to OSW projects to better serve marine resource managers (including fisheries, protected species, and habitat), stakeholders, and scientific partners.
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Work at Home Data Entry - Part Time - Entry Level. We're looking for folks nationwide who are great at data entry and typing. Work at Home Data Entry - Part Time - Entry Level. We offer a flexible work from home remote position that allows you to stay home with the family.
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Hands-on experience in testing and validating ETL pipelines and knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organizations.
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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data job in Atlanta, GA
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