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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Familiarity with big data / visualization tools such as PowerBI, Tableau and the core concepts of relational data. Interprets data to identify trends, patterns, and insights to recommend business decisions.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) In this role, you’ll be embedded in the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring.
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Familiarity in developing distributed data processing and Streaming frameworks and architectures (Apache Spark, Apache Beam, Apache Flink)Familiarity with NoSQL database technologies (. Familiarity with quantitative model development eco systems (R, Matlab, Python)Three or more years of experience in building data lake, cloud data platform leveraging cloud (GCP/AWS) cloud native architecture, ETL/ELT, and data integration.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Title:VP, Data Center Power ProcurementCompany:PrologisA day in the lifeWith rapid increase in Artificial Intelligence (AI) and associated need for data center development, Prologis is developing a strong pipeline of real-estate properties globally for our customers many of which are the hyperscalers.
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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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Experience with data visualization tools such as Tableau, MixPanel, Google Looker. The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
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Utilize tools like MS Office, CAFM, Archibus, and data visualization tools like Tableau for reporting and analysis. You will focus on Strategic Master Planning, Workplace Strategy, Space Planning, Move Management, Space Programming and Allocation, Spatial Data Accuracy, and developing various move scenarios.
$325,000 (equity)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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12+ years of transfer pricing experience with a mix of both big four and in-house experience. Certified Public Accountant (CPA), Juris Doctor (JD), Master of Laws (LLM), or similar certification.
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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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Using Postgres as a data warehouse, AWS Redshift and BigQuery. should have cloud data warehouse experience (Snowflake also okay) Senior Data Engineer. Need experience in building data pipelines for ML use cases, data plumbing work for building training data sets, evaluation, etc.
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big data jobs Company: Google in San Francisco, Peoria, Arizona
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