
Data Engineer
As part of this engineering team, you will work on vast amounts of data from user identity, subscriptions services, media services, mobile apps, desktop apps, camera, marketing, advertising, e-commerce and sales; you will work on diverse data technologies such as Spark, Superset, Airflow, Kafka, HBase, Hive, Scala, Java, SQL, and others to build business-critical, scalable and robust data pipelines and intuitive data products that power data discovery and analysis. Design and develop data pipelines that ingest various data sources using Apache Spark and Apache Airflow. Create metrics and graphs to visualize and validate user engagement tables. Setup monitoring processes to check data quality. Use your machine learning knowledge and experience to guide data engineering and feature engineering work that leads to user attributes. These attributes will then be used for user profiling, segmentation, and personalization.
Proficient in manipulating large data sets with complex SQL and Scala (or other similar languages)
3+ years’ data engineering in develop data pipelines using big data technologies (Spark, Hive etc...) on large scale data sets
Experience with Amazon AWS is a plus
2+ years in production
Java
Scala
Hive
Postgres
Time Management Skills
Analytical and process skills
Spark SQL
Verbal communication
written communication
Adaptability
Problem-solving and resourcefulness
Multi-tasker
According to JobzMall, the average salary range for a Data Engineer in 5600 Avenida Encinas, Carlsbad, CA 92008, USA is $90,000 - $125,000 per year. The salary range can vary depending on the specific job requirements, the individual's experience, and the employer's budget.
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