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RVO Health is looking for an experienced Data Engineer to join our team! As a Data Engineer at RVO Health, you will have the chance to build technology that drives real improvements to consumer health outcomes and has the potential to have a widespread impact across the healthcare industry.
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As a Senior Data Platform Engineer on the MMA IT Data and Analytics Team, we will count on you to design, monitor, build, and automate data pipelines. Learn more about what makes us different and how you can thrive as a Senior Data Platform Engineer at MMA.Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities.
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Cloud Big Data Engineer, Senior - Tech Consulting. At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
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Assist with periodic testing of disaster preparedness for the Azure Cloud Platform, TN and TX FHN Data Centers. Knowledge of: advanced level administrative knowledge of Microsoft Active Directory, Azure Active Directory, and hybrid identities; and familiarity with creating and tuning data loss prevention policies and data classification policies.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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In this role, Data Engineer – Commercial, you will design, implement, and manage the data architecture, systems, and processes to effectively collect, store, process and analyze high volume, high dimensional data to provide strategic insight into complex business problems.
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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The Annalect Engineering team is an engaged and innovative group of technologists that includes backend, frontend, full-stack, DevOps, and data engineers. Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery.
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Core Responsibilities:Ensure transaction/position integrity in Sterling’s records (Advent APX) against client custodial records, and also to Sterling’s OMS (Charles River) and relevant reference data (Bloomberg, etc.
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As a Portfolio Analyst, you will be part of a team responsible for Data Science and Analytics Financial Operations and Lean Portfolio Management (LPM). In this role you will partner with Data Science and analytics team as well as finance partners to manage staffing, contracts, and finances, participate in financial exercises such as forecasting and reserving and help streamline our financial staffing practices as we onboard new tools in Apptio.
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Drive design, creation, and management of large, complex Oracle databases running on Oracle 19c environments on Exadata, LINUX, AIX with features for data compression, partitioning, RAC, RMAN, Data Guard.
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Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the worlds toughest problems. rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe.
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Performs echocardiography studies for patients from the antenatal period to age 21 who have acquired or congenital heart disease, as well as adult congenital heart disease, calculates, interprets, and analyzes the hemodynamic data served from echocardiography studies.
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data job Title: devops engineer in Charlotte, NC
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