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Data Engineer with YinzCam, Inc. in Pittsburgh · PA
YinzCam, Inc. jobs
Sports Jobs in Pittsburgh · PA
Marketing: Database Marketing/Analytics
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We are looking for a Data Engineer to organize, manage, query, analyze terabytes of data from multiple different digital sources (mobile apps, websites, sensors). The ideal candidate has a passion for delving into data to help drive decision making in real-time for 180+ sports properties around the world.
We are a 24/7/365 global sports entity, so a solid understanding and love of sports is highly recommended.
We are looking for someone who...
We are looking for someone who...
- Thinks nothing is impossible
- Is a tinkerer and implementor of big-data systems
- Has a knack for data visualization to derive insights
- Is equally comfortable with database systems and machine-learning algorithms
What you will be doing...
- Running analyses on terabytes of data that arise from digital assets
- Applying machine-learning algorithms on data sets in order to cluster and segment them
- Providing insights from the data, to understand user behavior, predict user behavior, identify anomalies, and identify patterns
- Building, maintaining, and refining data dashboards
- Driving new product development based on insights from the data
Be our MVP if you have...
- 2 years+ of machine-learning experience with giant data-sets
- 2 years+ of experience in data visualization techniques and best practices
- 2 years+ of experience in working with Hadoop, Hive, Spark, and other big-data platforms
- 2 years+ of experience with SQL, relational databases, NoSQL databases, including Postgres and Cassandra
- 2 years+ of experience with Google Analytics, Firebase
- 2 years+ of experience with AWS cloud services, such as EC2, EMR, RDS, Redshift
- 2 years+ of experience in Java/C++/Python programming
- Expert programmer and tinkerer, comfortable around operating systems, cloud computing, network protocols
- Willingness to work in a high energy, fast-paced environment
- Strong desire to learn and grow career
- Degree in Computer Science/Engineering, with a heavy focus on machine-learning, data science, data engineering.
Job Questions:
How did you hear about this job?
What experience do you have with machine-learning algorithms?
What experience do you have data visualization and dashboards?
What is the largest-size data-set that you have analyzed?
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