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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query). Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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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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Apache Spark™ : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop.
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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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Big Data technologies including Airflow and Databricks. Implemented data governance practices to ensure data security and privacy compliance. Monitored and optimized data processing performance through query tuning, indexing, caching, and scaling.
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This position can be based at one of our 30+ offices across the US. The position will work closely with both the Global Energy team and Real Estate Data Center development team and play the senior leadership connective tissue in enabling electric utility power access and energy solutions for our data center developments in the real-estate business.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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As a Software Engineer in Data Reliability Engineering, you will help build platform products that reduce cognitive load, abstract complexity, and create the necessary controls for safe database ownership at Xero.
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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Monitor and report on the effectiveness of privacy, data, and AI governance initiatives to senior management, highlighting potential risks and recommending improvements. Strong knowledge of anonymization techniques (e.g., data masking, pseudonymization) and encryption standards (e.g., AES, RSA.
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As a Senior DevOps engineer, you will play a crucial role in ensuring the ESP software product teams (primarily focused on the Pattern in-house WIS:dom for big data across weather, energy pricing, and geospatial data.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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The Business Data Analyst, Senior will report to the Sr. Manager of Back Office Analytics. Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.
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Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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Strong communication skills to explain and evangelize Data Security to senior leaders across the company. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors.
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big data jobs Title: senior developer Company: Verizon in San Francisco, CA
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