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Senior Data Engineer
Remote US
Posted on 11/21/2022
INACTIVE
Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Apache Spark
AWS
Data Analysis
Data Structures & Algorithms
Pandas
Postgres
Redis
Redshift
Scala
Python
Requirements
  • 5+ years of hands-on professional (not academic) experience in pioneering data engineering and/or big data
  • Strong experience with Spark dataframes, 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, Pandas (Python Library)
Seamless.AI

201-500 employees

Intelligent sales prospecting software
Company Overview
Seamless.AI's mission is to help the world connect to opportunity and positively impact billions. The company helps teams maximize revenue, increase sales and acquire total addressable markets instantly using artificial intelligence.
Benefits
  • Remote work
  • PTO
  • Health benefits
  • 401k
  • Sales commission
  • Professional development
Company Core Values
  • Whatever it takes
  • Think bigger
  • Whole>self
  • Be resilient
  • Take ownership
  • Take action
  • Find solutions
  • Never fail
  • Do the right thing
  • Do more with less
  • Embrace change
  • Challenge everything