Position Description:
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future data requirements 2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis 3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow 4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data 5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks 6) Ensure optimum performance and identify improvement opportunities
Skills Required:
GitHub, Google Cloud Platform, Big Query, Python, Machine Learning
Skills Preferred:
ALGORITHMS, TensorFlow, Scikit-learn, Relational Databases, Data Model
Experience Required:
Engineer 3 Exp: 5+ years Data Engineering work experience
Education Required:
Master's Degree
Additional Information:
4 days onsite in Rotunda Court. - Collaborate with business and technology stakeholders to understand current and future data requirements - Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis - Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow - Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data - Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks - Ensure optimum performance and identify improvement opportunities

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