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Job#: 2040312 Job Description: Send resumes to Senior Data EngineerStaff/Principal level Engineer, act as a Lead for the Data group, ability to provide technical leadership/guidance and suggestions Temperament is important, need to understand the messiness of data and be able to solve problems will driving the business forward.
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The Director of Data Engineering will report to the VP of Data Technology. Leadership & Personal CharacteristicsBeyond experience, the right leadership competencies and personal style are critical to success as the Director Data Engineering.
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The ideal candidate is expected to have a deep domain experience in developing and supporting financial research analytics platforms at scale, experience supporting highly technical business teams, strong cloud architecture and application development experience with a history of advancing data engineering capabilities.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate closely with security, operations, development, networking, SD-WAN, and data center engineering teams to ensure smooth integration of IaC solutions with existing infrastructure and processes.
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As our Director Engineering, Technology Operations, reporting to Sephora’s Senior Director, Infrastructure Engineering this role provides senior leadership to drive strategic vision for Enterprise Client & IT Services Engineering teams and Corporate Desktop Support.
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Some preferred areas include vendor risk management, cybersecurity response and resilience, cloud security, data governance and security, endpoint and server technologies, intrusion detection and prevention systems, identify access management and access control, and threat vulnerability management.
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Candidates are preferred to hold a doctorate degree in computer science, health informatics, statistics, biostatistics, data science, epidemiology, engineering, operations research, economics, health services research, information sciences, or other computational fields, and/or a medical, dental, nursing, pharmacy or public health degree with demonstrated experience/training in the computational sciences or health informatics.
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Analyze sales data and market trends to make informed decisions and recommendations on targeted areas of business growth such as in cell therapy, gene therapy, vaccine manufacturing, or bioprocessing.
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SFO’s sustainability work centers around five primary areas: Energy, Carbon, Waste, Health, and Water, each with bold 2030 goals as described further in SFO’s 2023 Zero Annual Report and SFO’s Strategic Plan. In order to achieve net zero energy and net zero carbon, SFO actively tracks and aggregates utilities (e.g. water, gas, electricity), greenhouse gas emissions (GHG), and advanced energy asset performance data, among other data, in support of a decarbonized future.
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Responsibilities Job PurposePattern has recently embarked on a digital transformation initiative designed to modernize our application and data infrastructure, focusing initially on a rebuilt data platform, governance framework, and the elimination of siloed systems and practices.
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Data Governance: Implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements, including access controls, data masking, and encryption.
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Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue,AWS Lambda. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Senior Technical Program Manager, Engineering Culture & Programs. Promote a culture of continuous professional development and connect Block with the broader engineering community through conferences, tech talks, blogging, open source initiatives, and more.
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You will handle everything from backend data ingestion and model training to creating intuitive front-end interfaces for data visualization and correction. Introduction: Join a pioneering team focused on revolutionizing data-centric AI. As a Software Engineer (Full-Stack), you will develop innovative software systems to enhance data quality for various industries.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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data engineering governance jobs Title: senior director in San Francisco, Boynton-beach, Florida
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