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Perform periodic code reviews and test plans to ensure data quality and integrity. Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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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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Leading the team through the life cycle of a D365 implementation providing key inputs during design, migrating data from external systems; conducting and supporting solution testing; building test cases; assisting with functional, system and user acceptance testing and conducting and supporting user and administrator training.
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Experience establishing frameworks for data quality, data governance, stewardship, and metadata management. Experience with building data warehouses/lakes that are downstream from packaged applications such as Guidewire, Duck Creek, or XML-based applications are beneficial.
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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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As a Senior Consultant in our AI & Data team, you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
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Quality Management System (QMS) Establishing, investigating, analyzing, verifying, assuring, and sustaining part/process quality (OEM, Supplier) stemming from your broad technical experience across the Product Life Cycle coupled with an array of industry recognized quality tools (skills) – and applying that appropriately, thoroughly, and timely.
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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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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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You need to ensure consistency in data quality and availability for analysis and reporting including compliance with data governance and security standards. Enforce data governance policies, standards, and best practices to maintain data quality, privacy, and security.
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Assist management in servicing low voltage props Mantains quality game play by servicing computers with updates Must be available to work Friday afternoon until midnight, Saturday noon until midnight, and Sunday noon until 8 PM (this is not a weekend-only position, but you must be available these days/times.
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Job Description: The Auto Body Technician’s primary responsibility and accountability includes providing an exceptional and successful customer experience through the meticulous assessment and quality repair of each customer’s vehicle to restore it back to pre-accident condition.
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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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data quality jobs Title: data manager Company: Deloitte in Charlotte, NC
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