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And technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures. Our enterprise projects often require us to bridge and / or transform legacy systems to cloud native modern to extend business functionality and unlock data, we use digital decoupling technique to slowly and methodically hollow out the existing core and reimagine functionality, capture and distribute data changes.
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AWS Solutions Architect or AWS Cloud Practitioner Certification. Provide administrative-level technical network security implementation skill set for enterprise and Data Center environments of UCSF.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers.
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Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization. 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD.
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Expertise working with cloud-based data warehouse solutions (BigQuery, Snowflake) Design and Build Data Infrastructure: Architect and develop scalable and efficient data infrastructure, encompassing orchestration, metric store, feature store, governance, data quality, alerting infrastructure, and reverse ETL processes.
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The Building Design and Construction Division (BDC) of San Francisco Public Works, led by the City Architect, provides architectural and landscape design services, comprehensive building planning, project and construction management, contract support and compliance monitoring, materials testing and hazardous materials investigation for the development of new – and the upgrading of existing – civic buildings, facilities and urban landscapes to create a more resilient city.
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Nice to have: Hands-on experience with some of the data analytics products such as Spark, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
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As Bayer Crop Science's digital farming arm, we advance regenerative agriculture and technology breakthroughs using the latest agronomic science, data science, engineering, and real-world farming experience.
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Our department has primary responsibility within UCSF for delivering training in the methods of epidemiology, biostatistics, health data science, public health, and health services research.
$297,200 a yearTemporaryExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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AWS Certified Solutions Architect or Data Bricks Solutions Architect. The Lead solution architect typically requires seven or more years of technical experience across data engineering, data modeling, data governance.
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Customizing and implementing Microsoft Dynamics 365, migrating data from external systems, conducting and supporting solution testing, assisting with functional, system and user acceptance testing, and conducting and supporting user and administrator training.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Our tech stack: We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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We offer a truly diversified life science investment platform with the ability to invest from seed NewCo formation to public with a focus on therapeutics, digital health and medtech. In addition to managing a broad portfolio of equity, fixed income private equity and real assets, Novo Holdings is a world-leading life sciences investor and invests in life science companies at all stages of development through its Seeds, Venture, Growth, and Principal Investments teams.
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cloud architect data science jobs Title: architect in San Francisco, CA
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