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Demonstrated experience using data processing tools, such as Airflow, Spark, dbt, Fivetran, Databricks, Talend. Demonstrated commercial experience in data modeling, design, and development for relational databases with complex SQL (Snowflake, BigQuery, Redshift.
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2-3 years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc. Data Scientist Intern. Work with customer data and contribute to the development of an AI solution from ideation to productionLeverage integrations with big data frameworks (e.g., Databricks) as needed to develop customer solutions.
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Proficiency with Stata, R, Python and other programming languages. Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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Fluency in SQL, Python, and Machine Learning, with experience exploring and understanding large, complex datasets & data systems. Our tech stack currently includes GCP, Python, Looker, and SQL.
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Build complex data engineering pipelines using Python and Airflow to hydrate DataMart in Snowflake and Data Lake in AWS Cloud. · Build complex data engineering pipelines using Python and Airflow to hydrate DataMart in Snowflake and Data Lake in AWS Cloud.
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Hands on experience with SQL, Python, Informatica PowerCenter/IICS, Collibra, Reltio Master Data Management, DBT Cloud, DBT core, Denodo, Synapse and Golden Gate replication. Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
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We are looking for a Sr. Data Engineer that MUST have Airflow, extensive DBT, Snowflake, AWS, Python, and SQL. We are looking for a Sr. Data Engineer that MUST have Airflow, extensive DBT, Snowflake, AWS, Python, an.
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You will develop a robust and scalable backend for enterprise line of business applications in Go, Python, Redis, BigQuery, PostgreSQL, Docker, Kubernetes, etc. Experience with data manipulation (SQL, dbt, Airflow.
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Leverage integrations with big data frameworks (e.g., Databricks) to develop solutions. Pursuing a Computer Science/EE/Applied Math/Statistics/Data Science/Physics degree. 2-3 years of experience with Python and other major programming languages (Java, C#, C.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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Demonstrable experience with large-scale software applications with extensive use of Python. Demonstrable experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
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Proficiency in MATLAB/Simulink, Python, and similar tools for battery equivalent-circuit and physics-based modeling. Familiarity with common electronic components and comfort reading circuit design schematics & data sheets, contributing to BMS hardware design discussions.
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Los Angeles office of a BCG Attorney Search Top Ranked Law Firm seeks a mid-level patent litigation associate attorney with 5+ years of experience. BCG Attorney Search. Los Angeles office of a BCG Attorney Search Top Ranked Law Firm seeks a mid-level patent litigation associate attorney with 5+ years of experience.
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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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Leveraging the power of Unreal Engine API, we will seamlessly import rendering data into our application, enabling users to experience lifelike walkthroughs of potential homes that align with their specified preferences based on completing a comprehensive survey.
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