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Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. " Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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Develop and maintain insider threat risk scoring and other data analytics tools for customers to support insider threat detection and data analysis implementations. Develop data analytic models used to deter, detect, and mitigate insider threats, and incrementally integrate, configure, deliver, and maintain counter insider threat applications.
$145,000 - $160,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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EXPERIENCE : Two (2) years of data management work experience with data reconciliation, quality control, and field mapping experience with strong analytical and problem-solving skills.
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Streaming & Batch Data Processing (Kafka, Flink, Spark)Cloud automation & IaC tooling (e.g. Terraform, Ansible, Puppet)Continuous Integration Tooling (e.g. CircleCI, Jenkins, Github Actions, etc.
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Role: Python Data Engineer(Databricks/Python/Pyspark, Azure) Minimum 10 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
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If you enjoy working on critical data center systems (UPSs, PDUs, Diesel Generators, ATS equipment and Building Controls), as well as industrial electrical equipment and systems that include power distribution components/wiring, electronic components and lighting systems.
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Create high-quality, elegant data engineering solutions that focus on cloud-first, encapsulation, repeatability, automation, and audibility. Capability of developing data quality and validation routines.
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Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality.
$114,000 - $131,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working knowledge of unity catalog and data governance principles. 4-6 years of hands-on data engineering experience. Experience with ingesting various source data formats such as JASON, Parquet, Sequencefile, Cloud databases, MQ, Relational databases such as Oracle.
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Leverage Azure Databricks for running dbt transformations in production Data Integration: Collaborate with data analysts and scientists to understand data requirements. Data Processing and Transformation: Use tools like Databricks and dbt to process and transform data.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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data job Title: quality auditor Company: Abbott
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