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Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field. Assist with data consolidation and organization to create a searchable innovation knowledge center.
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Proficient with data, video editing and scout technology platforms (i.e., Opta, Hudl, Sportscode, Wyscout, etc.) Continually evaluates the program’s effectiveness, monitors trends and applies data to help drive strategy.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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Experience with real-time data streaming platforms such as Kafka and Kinesis. We provide a unified view of Orders/Orders-adjacent data at Square, and power a variety of interfaces for our teams and third-party developers to access that data.
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CloudHire Solutions enables enterprises in their digital transformation journey by offering Consulting and Implementation Services related to Data Analytics and Enterprise Performance Management (EPM.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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The Director, Product Data & Catalog will call on their expertise in master data management, data governance, data quality & people leadership, to effectively manage and improve the data elements and operations of a complex product & vehicle catalog, including translating business’s strategic goals into future-state data management, governance, engineering, and data science solutions.
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Experience with Oracle and non-Oracle technical integration tools and platforms like Oracle SOA and OIC, modern REST APIs, file transfer protocols and techniques and real-time data streaming. Oversee data migration, including the use of Oracle-specific data mapping tools and third-party migration software.
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Provide Program coordinator & Grant Specialist needed information including but not limited to scheduling, financial tracking, data management, program communication. Under the supervision of the Team Libertad Program Coordinator, the Intake Specialist will strive to offer a welcoming presence and helpful hand to Asylum Seekers released from Stewart Detention Center who are traveling through the Atlanta airport.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Experience with big data technologies such as Databricks, Spark, SparkR. The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact.
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Work with tools including Java Script, HTML/CSS, JSON, XML, Bootstrap, AngularJS, Jelly, REST webservice frameworks, API webservice frameworks, active directory federated services, SAML, oAuth, Public/Private key encryption framework, and Azure application and data hosting.
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Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM. Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements.
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Implement ETL (Extract, Transform, Load) processes to ingest and transform data from various sources into GCP data storage solutions like BigQuery, Cloud Storage, and Cloud SQL. A Data Engineer with GCP (Google Cloud Platform) experience is responsible for designing, developing, and maintaining data pipelines and infrastructure on GCP. This role involves working closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for various analytics and business intelligence applications.
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big data jobs Company: Amazon Web Services Aws in Atlanta, MN, France
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