Data Engineer
Refining our data infrastructure using technologies such as Spark, Druid, Kafka, AirFlow and Snowflake to support real-time analysis of data. Work with stakeholders in various departments to fully understand the business requirements and translate them into data models. Own the core data pipelines and scale our data processing flow. Design and build scalable systems, lead technical discussions, participate in code reviews, guide the team in engineering best practices. Must be able to write quality code and build secure, highly available systems. Generate reports using Groovy, SQL and Java Work on GumGum’s proprietary forecasting system. Lead POCs to certify and test the capabilities of emerging technologies. Maximize the growth of our junior and intermediate engineers via mentorship.
2+ year experience with Apache Spark
3+ years working with large scale distributed real-time systems
Strong understanding of SQL and NoSQL databases
Minimum 5 years of overall experience is required
Familiar with various AWS services, Serverless architecture and containers
Python
Java
Scala
Hadoop
Kafka
AWS
Spark
Time Management Skills
Verbal communication
Prioritizing skills
written communication
Flexible to adapt in situation
Detail oriented and highly organized
According to JobzMall, the average salary range for a Data Engineer in 1314 7th St, Santa Monica, CA 90401, USA is $93,000 to $150,000 per year. This is a broad range and can vary depending on the experience level and qualifications of the individual, as well as the specific job duties and requirements of the employer.
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