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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness) At People Data Labs, we’re committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy.
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Integrate data from Segment, Google Analytics, Google Tag Manager, Google Ads, and Facebook Ads into data lakes and warehouses including BigQuery and Cloud Storage inside Google Cloud Platform.
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Participate in requirements gathering: work with key department leads and our Project Manager to understand department-level data needs for data flows. Maintain and optimize our data warehouse (BigQuery) in collaboration with the Lead Data Engineer and the data engineering team.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Ownership of data quality in our datasets and data pipelines. Experience with SQL, Python, Data Warehousing, DBT, Airflow and Kafka. You have experience with Data Warehousing, Airflow, AWS, Kafka and dbt.
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We are hiring freelance English speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models.
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Experience with cloud-based data warehouse platforms (AWS RedShift, GCP BigQuery, Snowflake or equivalent. Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field.
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Develop and implement data ingestion, transformation, and validation processes to ensure data quality, consistency, and reliability across various healthcare datasets. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines, while ensuring the highest levels of performance, security, and data quality.
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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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Nova Data provides both on the job and classroom training and development to further our employees' careers as an NDT Technician. Nova Data Testing is currently looking for hard-working and dependable experts as Non-Destructive Testing Technicians to support our projects in the South East and the New England regions.
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Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB. If you answered yes, come to PNNL. As a member of PNNL’s Software Engineering and Architectures (SEA) team you will play a crucial role in developing cutting edge software, scalable data architecture & pipelines, and AI/ML solutions in support of some of the nation’s biggest and most complex challenges.
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Leverage SQL development skills to perform full lifecycle data mining activities, including requirements analysis, data quality assessment, data profiling, design and development of analytic data sets, data extraction, transformation, and loading (ETL) from relational databases and flat-file sources.
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Experience with cloud data platforms like Databricks, Snowflake, AWS, GCP or AzureAdvanced level SQL for data transformations, queries & data modelingExpertise with Git or other commonly used version control systemsStrong background with advanced data languages like Python, R or SASMust be flexible and willing to work the demands of the department which may be subject to evenings, weekends, and holidays.
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data job Title: quality manager Company: Greyhound
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