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Familiarity with a variety of foundational data concepts: Visualization (Tableau), Programming (Python), Structured queries (SQL), Cloud Data Ecosystem (Snowflake), Data Observability & Governance (Alation), Data Privacy & Security.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 5+ years of experience in application development including Python, SQL, Scala, or Java.
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Interprets data analysis of high throughput genomics, proteomics and genetic data. Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C.
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You will rely on Python and its data science ecosystem, using various NLP methods, to rigorously measure our product quality, improve enterprise products, and understand the behavior of end-users.
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In order to construct a robust, accurate, 360-view data environment that is unique to each client•Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python•Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Strong coding fluency in Python, R, or Java, with knowledge of object-oriented design principles for larger-scale developmentExperience with Kubeflow, Airflow or other workflows; Docker containerization; and managed Kubernetes systemsExperience with large data sets and distributed computing (Spark.
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Python Developer - Data Engineer. Java, C#, Python, Ruby, etc.) These companies are in a variety of industries: Financial/Trading, E-Commerce, Data Analytic, Ad-tech, Education Tech, SaaS, Hedge Funds, and more.
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Experienced with wide range of hardware and software development environments, including Microsoft, JAVA, J2EE, SOA, WS - (SOAP/REST/MICSROSERVICES), HADOOP ecosystem, Linux, RDBMS, NOSQL, ECOMMERCE, MOBILE, AWS, Docker (Swarm, Kubernetes), Elastic Search, MongoDB, Redis master/slave/sentinel, CI/CD pipeline using Jenkins, ansible, rundeck, Jfrog artifactory.
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Preferred QualificationsThe ideal candidate holds a or degree in mechatronics, electrical computer engineering, biomechanics, or a related academic field, with specific experience in one or more of the following areas:- Programming in Python, Matlab, Simulink Real-time or similar- Mechatronics system development and real-time control- Experience in Arduino, Raspberry pi or similar- Wearable Sensors (IMUs, EMG, ECG, Foot pressure sensor, etc.
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Strong Knowledge in Big Data Technologies, PySpark, thorough in one or more programming language like Python. We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake.
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Knowledge of modern cloud data technologies and architectures: Spark, Python, Power BI, Azure, DataBricks. By leveraging assigned data governance professionals, formulate and advance Data Strategy to enhance scope and quality of data across Group Segment.
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Paid search engine marketing data sources (e.g., Google, Yahoo, DART Search, Kenshoo) 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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The ideal candidate will be responsible for designing, developing, and enhancing the Python data science tools and frameworks. Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts.
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We are looking for a Vice President, Analytics & Insights to derive and deliver data-driven, actionable insights to answer client business challenges while also demonstrating the business impact of our work.
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