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Senior Analytics Engineer

Company: Intuit, Inc
Location: New York
Posted on: May 16, 2022

Job Description:

OverviewWe are looking for a Sr. Technical Data Analyst to join the QuickBooks Insurance team! Your effort will maximize proficiency and productivity with our product and business data and become the domain expert in multiple internal and external data sources. As a Sr. Technical Data Analyst you will collaborate with different functions (Data Scientists, Data Engineers, Business Analysts and Product Developers) of QB Insurance team. What you'll bringWhat You Will Bring: Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch. Experience in modern advanced analytical tools and programming languages such as Python. Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing). Distributed computing systems and related technologies (e.g., Spark, Hive). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Preferred Additional Experience: Cloud technologies, in particular AWS. Knowledge of Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). DevOps concepts (e.g., CICD), Software container technology (e.g., Kubernetes, Docker). Familiarity with Data Science workflow and life cycle. Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Data modeling and schema design. How you will leadHow You Will Lead: Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines that are reliable and scalable. Work cross functionally with product managers, data scientists, and engineers to understand, implement, refine, and design and implement QBI data warehouse. Discover data sources, get access to them, import them, clean them up, and make them machine learning ready. Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Effectively communicate results to peers and leaders.

Keywords: Intuit, Inc, New York , Senior Analytics Engineer, Other , New York, New York

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