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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 77 West Wacker Dr (35012), United States of America, Chicago, IllinoisLead Data Engineer (Python, AWS, Kafka)Do you love building and pioneering in the technology space.
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Engage with USAID/OHA and external stakeholders, including the interagency, on coordination of data alignment and use for biomedical HIV prevention interventions. Provide direct technical support to the USAID OHA PrEP team on PrEP and other biomedical prevention program implementation and scale through use of data for precision prevention programming.
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The CTE will be responsible for managing eDiscovery, data holds, auditing and alert policies, and compliance risks. The CTE will support all Microsoft 365 privacy/data breach incidents, forensics, eDiscovery, and/or audits.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. 4+ year experience working on real-time data and streaming applications.
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Lovelytics is seekinga Data Engineering Technical Lead (Level 4) Consultant with extensive Databricks experience to join our team and help deliver strategic client engagements. Databricks Data Engineer Professional certification a plus.
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Serve as trusted advisor to the Vice President, Deputy General Counsel Data, Technology, & Transactions, and business partners throughout the organization. Provide legal advice and strategic expertise to the Enterprise's business teams regarding data privacy, cybersecurity, and transactions.
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Doctoral degree and 2+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education) OR a Master's degree in relevant field (e.g., MPH, MPA, MPP; or MBA) and 7+ years of experience.
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At a high level, the SBA Information Technology (IT) ecosystem consists of one preponderant 20,000 node Multi-Protocol Label Switched (MPLS) infrastructure, two on-premises data centers, and approximately seventy smaller field offices; and additionally utilizes resources from numerous cloud providers.
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Understanding of the electrical systems involved in critical data center operations such as: feeders, transformers, generators, switchgear, UPS systems, Automatic Transfer Switch (ATS), units, Programmable Logic Controllers (PLC), Power Distribution Units (PDUs) and Static Switches.in-depth knowledge of the electrical & mechanical infrastructure required to support data center environments.
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Intense collateral performance analysis of consumer and/or commercial asset classes involving large, multi format data sets including: auto loan, consumer unsecured loan, point of sale finance, timeshare, small business loans, equipment finance, and/or leveraged credit.
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Proven experience as a Databricks ETL Developer or Data Engineer, with a strong understanding of data warehousing concepts and ETL tools. Design, develop, and maintain data pipelines to integrate data from various sources into the Databricks platform.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent.
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data job Title: officer Company: Leidos in Washington Navy Yard, DC
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