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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks.
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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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Experience with SQL, Python, Data Warehousing, DBT, Airflow and Kafka. You have experience with Data Warehousing, Airflow, AWS, Kafka and dbt. At least 5+ years of data engineer and/or software development experience.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. #Online #Data #Analyst #Remote #Opportunity.
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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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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights.
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Hands-on experience with Azure cloud computing infrastructure (Azure Databricks, Azure Data Factory, Spark) Develop, debug a, and support applications and data pipelines for big data analytics platforms in Azure Databricks, Kafka, Neo4j.
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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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The main responsibility includes supporting research operations for our entire institute, mostly using the Python data science stack (e.g. Pandas) and SQL. You will be expected to work with our research and data science team on a variety of tasks, from maintaining and expanding our ETL pipeline, written in Python and Pandas, to querying our Epic Clarity data warehouse, to conducting routine statistical analysis.
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As a Data Engineer, you will use Python, SQL, Snowflake, dbt and other tools to build automated processes, models and solutions for data operations across the company. The Saints and Pelicans’ Business Intelligence and Consumer Insights department is looking for a talented Data Engineer who is passionate about designing, crafting, and operating automated analytical solutions that will drive scientific data-driven decision making and have direct and measurable positive impact to both the New Orleans Saints, the New Orleans Pelicans, and ultimately their customers - the fans.
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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders.
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Exposure to Snowflake, AWS data wrangler, SageMaker, SageMaker Studio helpful. We help our customers in their digital transformation journey and provide solutions around Cloud Services, Automation, Data and Analytics, Application Development, IT Service Management and Cyber Security.
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The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. The Data Software Engineer position will involve design, implementation, testing and launch of new applications for loading dealer data and generating analytical insights.
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data job Title: buyer Company: Robert Half
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