Software engineer - spark

We are a deeply data-driven company with data driving not only business decisions but also product features and directions. Our team is responsible for supporting one of the biggest in-house Hadoop/Spark infrastructure in Silicon Valley. We build infrastructure and tools to power thousands of AI engineers, data analytics, and software engineers within the company. We are also committed to being an early adopter and contributor to open source big data technologies, including Hadoop, Spark, and TensorFlow. We are looking for a data engineer with a focus on Hadoop and Spark to develop our Spark infrastructure and grow our Spark user groups. Your work will impact thousands of Spark users inside and outside the company.

Responsibilities:

Prepare training material and hold technical training sessions for internal Spark users

Developing Spark infrastructure, Spark user libraries and tooling to make direct impact to users

Interact with multiple groups on a daily basis to design data solutions and promote the best Spark practices among users

Solve production issues related to user Spark applications

Basic Qualifications

BS/MS in Computer Science or related technical discipline

1+ years of relevant work experience in Spark and Hadoop

Excellent communication and presentation skills

Good understanding of Spark, Hadoop, HDFS, YARN, Hive technologies

Good understanding of distributed storage and computing systems

Good understanding of programming language like Java and Scala

Good understanding of scripting language like Shell and Python

Preferred qualifications

Good understanding in Spark Core and Spark SQL engine

Experience in building large scale applications with Spark SQL

Experience in writing, analyzing, and debugging SQL queries using Hive and Spark SQL

Experience with tuning large scale Spark jobs

Experience in working with a data format on Hadoop/Spark like Avro, Orc, and Parquet

Experience with Interactive Spark Notebooks (Jupyter Notebooks)