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3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
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Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense.
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Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud). Proficiency in programming languages commonly used in data science, such as Python, R, or SQL.
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Familiarity with additional transformation platforms like Apache Spark and Beam. Experience with data transformation orchestration tools like dbt or Dataform. We have a lot of tools in our toolbelt, but all with the main goal of helping Mailchimp to continue to use data more effectively.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will leverage your expertise in BigQuery, SQL, and dbt to build and maintain data pipelines, transform data, and create reports and dashboards using Power BI or Tableau (depending on chosen path.
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Data engineering skills are a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc. Develop end-to-end ML pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training, model validation, model serving, and model evaluation over time.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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As a Data Center Construction Project Scheduler, you will be a part of a creative, diverse team tasked with solving challenging problems constructing Amazon Data Centers. As a Data Center Construction Project Scheduler, you will review and develop construction schedules for our data center construction projects.
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Bachelor's Degree in a science, engineering, or related discipline (Preferred: Chemical, Polymer, Biomedical, Materials Science, Industrial, Mechanical) Lean Six Sigma Green Belt or Black Belt, preferred.
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Ph. D. degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Physics, Mathematics, or a related field of study. - 5 years of related experience with a Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Physics, Mathematics, or a related field of study.
$120,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Our tech stack includes (but is not limited to) languages and technologies like Golang, Python, SQL, shell scripts, AWS EC2, Athena, Aurora / PostgreSQL, Kafka / MSK, Kubernetes, SQLite, Airflow, Spark, and more.
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Deep experience with data pipelines (ETL/ELT, Spark, dbt, Airflow, Databricks, etc.) Verusen is a leading technology company that uses artificial intelligence to provide visibility, digitization and prediction of materials data and inventory for complex supply chains.
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The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges.
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Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights, content and creative production, communications and strategy, finance and marketing, and sociology, psychology, and other liberal arts disciplines.
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In lieu of degree in Behavioral Science, will accept bachelor's degree in nonrelated field, along with six (6) years of comparable job experience, with one (1) year of experience with the SPMI and/or Addictive Disease population, preferably in a full time status.
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spark data science jobs Company: Intuit Inc in Atlanta, GA
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