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Expertise in database science (including expertise in SQL), bigdata, columnar data warehouses, data warehouse design and management. Gala is at the forefront of creating innovative web3 experiences and deals with a large number of disparate entertainment products that are disrupting engagement in the web3 space with Games, Music and Film. This involves decision making that are data-critical with low failure tolerance and high usability.
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1- 3-years minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Develop and maintain insider threat risk scoring and other data analytics tools for customers to support insider threat detection and data analysis implementations. Develop data analytic models used to deter, detect, and mitigate insider threats, and incrementally integrate, configure, deliver, and maintain counter insider threat applications.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Advanced experience with Azure using data warehouse technologies, including Azure Data Factory, Azure Synapse, Azure Synapse Analytics, Azure SQL DB, Azure Logic Apps, and Azure Analysis Services, Azure Databricks.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc.
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Remote Data Analyst. Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.
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We are seeking a Data Scientist to help drive development of the next generation of laser-based analytical instrumentation capable of high precision, high accuracy molecular analysis of complex gas mixtures.
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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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Knowledge or experience in designing and deploying data processing systems with one or more of the technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik or Other.
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The Data Engineer is a key member of WellNow’s Data Operations team. Consume and process data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage systems) and file formats (Excel, CSV, XML, JSON, Parquet.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. 5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena.
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You will be involved in understanding digital asset trading and transaction data (across equities, commodities, fiat, cryptocurrency, etc.) As a data and implementations analyst, you will work closely with our Subject Matter Expert (SME), engineering and product management teams to understand and work across all areas of our public sector client solutions.
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Title: data Company: Tricom Technical Services
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