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Familiarity with data visualization and analytics tools such as Power BI, Tableau, or similar platforms is a plus. Bachelors degree (B.A.) in computer science, data science, software engineering, information systems, related quantitative field, or equivalent experience and/or training.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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You will partner closely with the leaders of Onyx’s engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading Data Engineering products that power downstream consumption of petabytes of business-critical data.
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Strong understanding of data engineering tools (Spark, Airflow, PySpark, Kafka, Hive, SQL/NoSQL); working knowledge with at least one programming language (Python, Java, Scala. Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for our Data Engineering product portfolio, aligned with the Onyx’s overall product vision and objectives.
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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. Leadership: Play a key role in engineering and product strategy, priorities, and culture.
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Develop knowledge of emerging modern data platforms, Databricks, Snowflake, cloud (AWS, Azure, and/or GCP), data strategy (monetization, governance, etc.) , and data visualization (Tableau, PowerBI, Looker, etc.
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6+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. Establish and enforce data engineering best practices, ensuring compliance with data privacy and security regulations specific to the healthcare industry.
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Experience Data pipeline engineering HUDI / DELTA, Google HIVE, Elastic Search for data migration. As well as own and support delivery for all the features for the global data engineering and platform.
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This is a hybrid role that requires the ability to work with data engineering / Data science projects. - Lead data engineering efforts, including designing, and implementing data pipelines and data transformations.
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The Sensor Grid engineering team is responsible for all security sensors within Technology Risk. You will work closely with Threat Management Centre, Hunt, Detection Engineering, and Data Science teams to ensure our sensors and data streams are effectively configured, streamlined, integrated, automated and monitored to ensure the systems and data necessary to protect the firm from cyber threats is available.
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Knowledge of machine learning algorithms and data analysis techniques for optimizing ad targeting and performance.
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You have experience and working knowledge of historical data management and reporting software (i.e. Factory Talk Historian, Wonderware Historian, Ignition Historian). You have a bachelor's degree in an engineering discipline and have a minimum of five (5) years automation and control systems engineering experience required, preferably in CPG beverage/food manufacturing.
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Strong background in solutions across Data Engineering value chain with expertise on Azure-Databricks. Strengthen the Data engineering team with Big Data solutions running on Azure.
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A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience with data visualization tools such as Power BI, Tableau, etc. + Familiarity with big data / visualization tools such as PowerBI, Tableau and the core concepts of relational data.
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modern data visualization engineering jobs Company: Morgan Stanley
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