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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Proficient in one or more programming languages (Java, Scala, Python.
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Leverage technology such as Python, Go, Bash, Django, AWS, Kubernetes, Terraform, MySQL, Apache Pulsar, Redis, and Clickhouse to advance Klaviyo’s platform. Experience developing applications in Python, Ruby, Go, etc.
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Develop scripts and automation tools using Python, JavaScript, React, and GoLang to enhance security processes, reduce manual effort, and ensure rapid incident response. Proficiency in programming and scripting with Python, JavaScript, React, and GoLang.
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Experience with big data handling tools and analytics visualization tools like SQL, Python, Tableau, Power BI. You’re considered fully vaccinated two weeks after you receive the second dose of a two-dose vaccine series (e.g., Pfizer or Moderna) or two weeks after a single-dose vaccine (e.g., Johnson & Johnson/Janssen.
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Using ETL (Extract, Transform and Load), and having experience with Alteryx, Power Query and / or other agile technologies preferred; and, Possessing knowledge of and having exposure to basic programming: Python, SQL, or other languages.
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Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas) Languages: Python, Spark. Datastores: Databricks, Elasticsearch, Postgres, ArangoDB.
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In this role, you will be responsible for not only developing prototypes and in-production microservices using Node.js and/or Python, leveraging LLMs and automating business processes building automation pipelines but also leveraging no-code platforms like Zapier.
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Proficient with Python programming language and related web frameworks (Django, Flask, Fast API) Design, develop, and maintain robust and scalable backend systems using Python. Proficient with Python programming language and related web frameworks (Django, Flask, Fast API.
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3+ years of experience with SQL Server or Databricks ETL, including hands-on experience developing SQL stored procedures and SQL-based ETL pipelines. In this role, you will lead a cross-functional Product Development team of Software, Data and QA engineers covering all aspects of product development (UI/Middle Tier/API/Backend/ETL.
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Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Accounting, Data Processing/Analytics/Science, Mathematics.
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At least 6 years of experience programming with Python, Go, Scala, or Java. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Experience in building statistical models using R, Python, STATA, or a related software. We are looking for an Economist who will provide structure to ambiguous and complex business problems, develop solutions to these problems using economics, econometrics, machine learning and other scientific approaches, work with engineers to scale and launch science models in product, and initiate high impact projects in the compensation space.
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Experience with Python, Golang, Java and SQL. Develop and maintain the technology stack (Kafka, Airflow, WMS, Redshift, Commerce Tools) to include commercial or open-source integration platforms.
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A minimum of 3 years in hands-on programming with languages such as Python, Ruby, Go, Swift, Java, Kotlin,. A minimum of 3 years in hands-on programming with languages such as Python, Ruby, Go, Swift, Java, Kotlin.
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Broad experience with large-scale database and/or data warehouse technologies, ETL, analytics, and cloud technologies. Hands-on expertise with SQL and/or Python. Experience working in a pre-sales environment working directly with account executives on enterprise accounts; SaaS or PaaS products preferred.
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alteryx etl python jobs in Boston, NY
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