Data Engineer (Java, Spark, Hadoop)
A very well publicized company is looking for a data engineer to help them scale their data pipelines as they are gaining a larger customer base and more data is being processed by their platform and the ingestion platform cannot keep up. They are located in Sunnyvale and the salary is negotiable up to $160,000.
The company which specializes in marketing and sales analytics is looking for a highly skilled data engineer who is very skilled in Java or Python and has immense experience building real time data streaming engines. They work at helping sales and marketing teams better target leads and engage those leads so they have terabytes of data streaming through their pipelines and due to this they are unable to keep up as their customer base has grown exponentially. This is why they need an engineer who is able to come into the team and hit the ground running because they need to expand the pipelines. They are looking for somebody who is incredibly proficient in Java and building ETL Pipelines. They are also looking for somebody that is a whiz at Apache Spark and the Apache suite of tools. The team is very close and works incredibly well together so they culture fit is a huge thing for them as they are constantly on offsite activities and events. You will be working with former data engineers from Google and Facebook as well so room to learn and grow is very important to them.
Required Skills & Experience
- BS or MS in Computer Science or Other Related Field
- Fluent in Java (J2EE Technologies)
- 3+ Years Experience with API Development (REST or RESTful)
- 5+ Years Experience with Apache Spark
- 5+ Years building ETL Pipelines
Desired Skills & Experience
- Excellent Communicator and Team Player
- Comfortable with RESTful webservices
- Apache Spark Committer is a HUGE plus
Benefits & Perks
- Off-Site Activities
- Upward Mobility