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Experience in data entry, data cleaning & management, and data quality assurance. The Data Analyst at Trial Library will play an integral part in expanding access to cancer clinical trials by supporting the development of a clinical trial matching tool and pioneering pre-screening efforts in community oncology settings.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Physics, Computational Biology or equivalent experience. You have a strong background in data science, machine learning, graph mining, and graphical modeling algorithms.
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Optimizing and managing our tech stack, including Redshift, dbt, and BI tools, to ensure data accuracy and accessibility. Expertise in data modeling and ETL processes, particularly with DBT.
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Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
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You have at least 3+ years of work experience as a data scientist in an analytics role. We are looking for a Product Data Scientist to drive understanding of how our business and its products are scaling and performing.
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2+ years of experience working with cloud service providers (AWS Azure GCP) and corresponding cloud-native security services Data security/protection conceptual knowledge and experience in implementation of data security capabilities such as encryption tokenization data masking RBAC ABAC auditing & monitoring in any of the industry leading tools such as Immuta Protegrity Microfocus Voltage Vormetric Imperva SecuPi Privacera Thales etc.
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Familiarity with the differences between data engineering concepts like Data Mesh, Data Lake, Data Warehouse, Data Fabric, and Data Lakehouse. In this role, you will evolve our data warehouse schema, solidify our transform architecture, and establish data governance patterns to serve our internal and external analytics needs.
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This role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. The ideal candidate is someone who has a prior record of managing teams, executes company-wide data strategy, and loves the intensity of a high-growth startup.
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Deep expertise in provisioning and managing data infrastructure components like Kafka, Spark, and Airflow. 8+ years of experience as a Data Infrastructure Engineer or related roles like Platform Engineer, SRE, DevOps or Backend Engineer.
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Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery). Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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Conduct exploratory data analysis in python and Databricks in order to answer questions from internal stakeholders. Work in tandem with R&D, bioinformatics, production software, and manufacturing to solve problems and create new productswith a data-first mindset.
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Design, build, and maintain scalable and reliable data pipelines using Databricks. Provide data engineering support for various functions across the company, ensuring data accessibility and usability.
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You have a deep understanding of the modern data landscape (e.g. Snowflake, Databricks, AWS, GCP, dbt) and have built or used API products. 3-5 years experience in Product Management, or in a data-centric role (e.g. data engineer, data scientist, data analyst) which requires similar skills.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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data job Company: Ukg in San Francisco, CA
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