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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Additional duties are to provide system administration tasks for all DCIM systems which are comprised of EPMS’s, BMS’s (Building Automation Systems) and SCADA (Supervisory Control and Data Acquisition Systems.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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The Master Data Analyst is responsible for working with a cross functional team to set up new materials and maintain all fields and processes associated with them. The analyst will also manage any changes needed and to audit any master data issues that arise.
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JOB SUMMARY: The Paid Media Analyst will be responsible for collecting, analyzing, and interpreting data to uncover optimization and test and learn ideas related to our Paid Media campaigns across all media channels.
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The Data Analyst will conduct analyses of CIR data and produce graphs, maps, and reports related to immunization distribution, inventory, and uptake to support the COVID-19 Vaccination Program and the Vaccines For Children (VFC) program.
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Mohawk is looking for a Sustainability Data Analyst who can do more with Mohawk. Lead project-based work that could include but is not limited to projects specific to gathering and validating data for regulatory reporting (EU CSRD, EU Taxonomy, California Climate Rules), voluntary frameworks (GRI, TCFD, SASB), surveys (CDP Climate, CDP Water, CSA), and any additional needed data for the annual ESG report in the global ESG data platform.
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Associate Dean of Science & Technology and Chair, Engineering, Computer Science & Mathematics
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Our data engineering tech stack is primarily AWS running Spark/Scala within Databricks. The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
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Collaborate with other Technologists within Teledyne FLIR on application of AI/ML to system level data fusion, e.g. combining CBRNE sensor outputs with other information in Augmented Reality/Virtual Reality (AR/VR) or other situational awareness modalities.
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5+ years of architecture and design experience for Data & Analytics solutions involving tools like Snowflake, Informatica / DBT, Spark/ Kafka, Power BI / Tableau, Python/Databricks. Experience architecting end to end solutions with cloud-based BI tools and data warehouses such as Power BI / Tableau / Snowflake / Redshift is a must.
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Skill in verbal and written communication skills essential to effectively interact with data analyst, data scientists, OIG customers, and OIG leadership. The Fraud Analytics unit within the Data Reviews Division of the Office of Inspector General (OIG) is responsible for performing innovative and advanced data analytics to detect fraud, waste and abuse in state health and human services programs such as Medicaid, the Childrens Health Insurance Program (CHIP), Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for Needy Families (TANF) by supporting data-driven investigations, reviews, audits, and inspections.
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field.
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data job Title: data analyst Company: Change Healthcare
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