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Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, AWS, and Looker. By establishing HackerOne's one source of truth and developing data products and solutions on this foundation, we help our Hackers, Customers, and Hackeronies gain insights and make better decisions, thereby empowering the world to build a safer internet.
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Experience with data visualization tools like Power BI, Tableau, Looker. Drive the Company's data analytics and digital strategy in alignment with business objectives, collaborating with senior leadership to integrate initiatives and ensure continuous innovation.
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Job Overview: Chubb is seeking a highly skilled and experienced Lead Operations Research Data Scientist to join our team. Lead the end-to-end data science lifecycle from problem definition to model implementation.
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Be the company's expert on data administration and master data management. Have good working knowledge of AWS data infra systems and Terraform. Bring a system-oriented and software engineering mindset to the Data Engineering practice.
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Expertise in programming languages such as Python or Java, and experience in data processing frameworks (e.g., Apache Spark, Kafka). Advanced knowledge of SQL, database management systems (e.g., PostgreSQL, Redshift), and data warehousing solutions.
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Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio, D3. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Proven experience in building solutions with hybrid data architectures such as, but not limited to Airflow, Snaplogic, Informatica, Boomi or MuleSoft. The candidate will have knowledge of modern data architecture, Cloud architectures, and integration patterns such as RDBMS, Snowflake, Azure Event Architecture, Web Services, Machine Learning and Data Virtualization via federation technologies.
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We are seeking a detail-oriented Data Clerk to join our team and manage our organizational information. The Data Clerk will be responsible for inputting, organizing, and managing our database, to ensure accuracy and completion.
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Experience designing and implementing cloud based and SaaS data warehouse (e.g. AWS, Snowflake, GCP, NoSQL) and developing ETL/ELT pipelines. Proactively drive innovation in big data and the execution of our data engineering and data warehouse frameworks and services.
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Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse.
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Eagerness to dive deep and become a healthcare data expert. Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human.
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Worked with real time big data pipelines using distributed data processing systems using Apache Spark/AWS Glue/Beam. Experience with columnar database table design and building data pipelines (Redshift and/or Snowflake.
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Data Engineer - Remote. Fair working knowledge of Python, R programming for Data analysis. Hands on experience with Data warehouse and database development (5-8 years) using any of the leading database systems.
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Proven experience as a Data Product Manager, Data Manager, or a similar, preferably in the property and casualty insurance industry. Ensure high standards of data governance and quality within your domain, aligning with the broader data mesh architecture.
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Develop, Manage and optimize data workflows using Oozie and Airflow within the Apache Hadoop ecosystem. We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team.
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Title: data Company: Wells Fargo in Bellmawr, NJ
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