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Collaborates with program evaluation consultant to tabulate and analyze data. Strong Analysis and Reasoning – including comfort with basic spreadsheets, data collection and simple analysis, and the ability to gather, organize, edit, analyze and synthesize information.
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Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users. Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings.
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Conduct data quality analysis and provide recommendations for effective quality assurance processes that improve data health. Develop data collection systems, implement databases and analytics to optimize efficiency.
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
$50 - $60 an hourExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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2+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working knowledge of unity catalog and data governance principles. 4-6 years of hands-on data engineering experience. Experience with ingesting various source data formats such as JASON, Parquet, Sequencefile, Cloud databases, MQ, Relational databases such as Oracle.
$83.33 - $93.33 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive). Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
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IRC Seattle will implement a major Migrant and Asylum Seeker Support project in WA. As part of this project’s team, the Data Specialist will primarily monitor and coordinate data collection.
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In this hands-on role, you will architect and engineer data pipelines, platforms, integrations, and products on modern cloud platforms, such as Snowflake, Databricks, Azure, and/or GCP. Collaborating closely with the data leadership team, you will shape the long-term vision, cloud adoption roadmaps, future-state analytical architecture, and data governance frameworks necessary for this transformation.
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Sr. Data Engineer (GCP BigQuery with DataFlow, Data Form, DataStudio and Looker) 3+ years in GCP BigQuery with DataFlow, Data Form, DataStudio and Looker. Data sources including but not limited to SQL Server, GCP, SAP, Teradata, Hadoop\Hive, PostgreSQL, Oracle and flat files.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
$85 - $92ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are excited to add this critical member to the FEATURE Team. In the Data Entry position, you will help manage and build all incoming product in Shopify so that it can be received by the warehouse, synced with all internal systems and ready for sale at retail and online.
Part-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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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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It is a fascinating time to be a Data Scientist in the music industry, and the successful candidate will have the opportunity to work on leading industry topics such as Fraud Detection, Generative AI as well as more general business problems such as User Segmentation and Retention Modeling.
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Expertise with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today
Title: data Company: Techdigital
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