Snowflake Lead Data Engineer
Bridgewater, New Jersey, United States
Saama
Saama automates key clinical development and commercialization processes, with artificial intelligence (AI), machine learning (ML) and advanced-analytics, accelerating your time to market.Bachelors or Master’s degree in computer science or related discipline.
10 + years of relevant experience in software development, preferably in Data, Analytics, Information Management platforms
Data engineering with an emphasis on data analytics and reporting along with the Team management with onshore offshore model
Strong in SQL, data transformations, statistical analysis, and troubleshooting in Snowflake
Experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines in ETL tool or snowflake procedures
Experience with one or more of the follow scripting languages: Python, SQL
Experience with cloud platforms: Microsoft Azure
Snowflake certification is a plus
Work EnvironmentThis job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers. Physical DemandsThis position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required. Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. EEO Saama Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data Analytics Data pipelines Engineering ETL Pharma Pipelines Python Research Snowflake SQL Statistics
Perks/benefits: Career development
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