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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.
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5+ years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or. statistical and subpopulation analysis on sensor and clinical data collected from clinical trials.
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As part of the Business Data Enablement team, and as part of the Data Engineering team as a whole here at JumpCloud, you will play a pivotal role in the design and development of our critical data infrastructure and systems for multiple areas of the business, including Business Analysis, Product Development, Engineering, ML Operations, Finance, Sales and Executive Strategy.
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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. In addition, be a key contributor in delivering critical business features with a passion for big data technologies.
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Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream). Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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The University of Chicago Crime Lab and Education Lab partner with cities and communities to use data and rigorous research to design, test, and scale programs and policies that enhance public safety, improve educational outcomes, and advance justice.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Working closely across groups, particularly product, engineering, analytics, and accounting teams to design and manage scalable data life cycles of new and existing products.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Dropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at Dropbox.
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Design, develop, and unit-test various modules of database product applications primarily on Snowflake but also on Databricks and other data services. Northern Trust is seeking a dynamic Sr. Lead cloud / data platform engineer to support key data platforms to include Snowflake, Databricks, and other data platforms.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage)." Experience with data governance(data plex), data security, and compliance best practices on GCP.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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The Data Center Manager will assist the Market Director in developing financial OPEX and CAPEX budgets and will be responsible for meeting strict budget standards. The Manager - Data Center Operations is responsible for employee training and ensuring all staff is adequately qualified to perform required duties.
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More than 10,000 organizations worldwide including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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But child care, adoption, and surrogacy are big decisions. At T-Mobile, we strongly encourage everyone, including people of color, veterans, military spouses, individuals with disabilities, lesbian, gay, bisexual, transgender, queer and non-binary people, and parents to apply.
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big data jobs Title: manager product in Chicago, OR, Australia
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