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Requirements: airflow, dbt, Snowflake, AWS, Python, SQL. Proficient in Python and SQL for complex data operations and transformations. Requirements: airflow, dbt, Snowflake, AWS, Python, SQL.
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With two or more programming languages (Python, SQL, Java, C#, Scala, R, etc.) Demonstrated commercial experience in data modeling, design, and development for relational databases with complex SQL (Snowflake, BigQuery, Redshift.
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The role will leverage a multitude of technologies to fulfill the work including, but not limited to SQL, Python, Docker, Gitlab, Airflow, Snowflake, Looker and PostgreSQL. SQL, Python, Snowflake, Gitlab, Airflow, AWS S3 and Relational Databases.
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You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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Provide coding expertise in Python (FastAPI and Django), React JS, TypeScript, SQL, NoSQL, and AWS to develop frontend and backend applications. 1 year of professional experience with React JS and Python.
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar. Guided by world leaders, scientists, and entrepreneurs, EIT seeks to accelerate innovation by driving scientific and technological advancements across four humane endeavors: medical sciences and healthcare, food security and sustainable agriculture, clean energy and climate change, and government policy and economics.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Curates, prepares, and integrates large and varied datasets to test business hypotheses with Python, Sql, and other tools like Snowflake, IICS, Oracle, SQL Server, and Azure ADF (Automated Data Factory.
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Advanced Excel skills and comfort working with Python, R, SQL and related tools. As Music Insights Manager, you are responsible for insights across Apple Music Editorial and Apple Music Radio.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Experience with programming, technology, and tooling such as R, Python, SQL, Snowflake, Azure, Git, Informatica IICS, Tableau, Power BI, Business Objects. Well versed in SQL, and Snowflake environments.
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Demonstrated experience in the following: Python, SQL, AWS, Snowflake, Big query, S3, Glue catalogue, Athena, airflow, etc., 7+ years of experience with SQL or other data discovery/analysis platforms in a capacity supporting day-to-day operations.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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