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There’s no one like you and that’s why there’s nowhere like RSM.RSM is looking for an experienced Hands-On Technical Sales Director with expertise in big data technologies and multi-cloud platforms to lead our technical team for the financial services industry.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Information Systems, Computer Information Systems and Information Technology, Engineering, Information Technology, Mathematics, Physics or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing Informatica ETL and Oracle database development to support HR data engineering capabilities in a financial services environment.
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At Regions, the Technology and Data Risk Business Unit (BU) Risk Liaison role is responsible for advising Technology, Operations, Digital Data (TODD) BU on Information Technology (IT) and Data business decisions.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Demonstrated experience with a variety of relational database and data warehousing technology such as AWS Redshift, RDS, BigQuery, Databricks.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings.
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Planet Technology Enterprise is an internationally recognized IT Consulting Services firm established in 2003 with a specialty in Workday, SAP, Cloud Solutions & Big Data. We understand the marketplace and pride ourselves on serving IT candidates as individuals, not commodities.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.
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Keywords: Charlotte NC Jobs, Information Technology Director, IT Customer Support, IT Business Change Management, User Administration, Systems Administration, Network Administration, IT Management, POS Systems, Project Management, Network, Networking, IT Support, Restaurant Industry, North Carolina Recruiters, IT Jobs, North Carolina RecruitingLooking to hire for similar positions in Charlotte, NC or in other cities.
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In conjunction with the Firm's COO and Head of Technology and data, review and update the firms Information Security policies and guidance notes. In conjunction with the COO and the Head of Technology and data, develop and continuously improve the firm's information security strategy.
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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Docker, Kubernetes, ECS, EKS or AWS Fargate (for containerization and orchestration of data applications and reproducibility) Data Visualization Tools (e.g., Tableau, Power BI, Plotly) The Data Scientist will be responsible for driving insights from the vast amounts of patient and environmental data available within our data warehouse.
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HL7 (Health Level Seven International standards for electronic health information exchange) HIPAA Compliance (handling sensitive patient data securely) Data Privacy (understanding of privacy laws such as HIPAA, GDPR.
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Work closely with researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results. Data Scientist (Healthcare) 100% Remote.
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Data Science & Machine Learning Frameworks. Python (for preprocessing, data analysis, machine learning, scripting) Data Governance & Security. Develop and implement algorithms on existing data warehouse records and identify new external data sources to be ingested to the data warehouse to strengthen analyses.
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Research and implement AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data. Auditing & Compliance Tools (for ensuring secure and compliant data handling.
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big data information technology financial services jobs Title: data engineer Company: Capital One
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