Senior Data Engineer - Remote US
Job Description
- 5+ years of hands-on professional (not academic) experience in pioneering data engineering and/or big data
- Strong experience with Spark dataframes,Ā datasets, or AWS DynamicFrames (comfortable developing Spark applications in a local environment)
- Strong experience with Python, along with working experience in an AGILE environment with modern SDLC
- Expert knowledge of data engineering, predictive modeling, statistics and machine learning in general. Deep experience with algorithms, statistics, and data analytics
- Experience/knowledge in our more major technical & programming languages/cloud computing including but not limited to: Aurora PostgreSQL, AWS Redshift, AWS Glue, AWS EMR, AWS Spark (Scala/Python/PySpark), AWS QuickSight, Presto, DynamoDB, Redis, ELK stack,Ā Pandas (Python Library)
Seamless.AI has been delivering the world's best sales leads since 2015. Our product is the first real time, B2B search engine helping sales teams maximize revenue, increase sales, and easily acquire their total addressable market using artificial intelligence. We have been recognized as one of Ohioās fastest growing companies and won 2020 Best Places to Work and LinkedInās Top 50 Tech Startups in 2020 and 2022. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Visa Sponsorship is not included in our hiring package. Applicants will need to be authorized to work in the U.S.
Date Posted
12/23/2022
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