Data Engineer - Los Angeles, United States - SATWIC

Description

A bachelor's degree in Computer Science, Data Science, Software/Computer
Engineering, or a related field.
Proven experience as a data engineer or in a similar role, with a track record

of manipulating, processing, and extracting value from large disconnected

Demonstrated technical proficiency with data architecture, databases, and

processing large data sets.

Proficient in Oracle databases and comprehensive understanding of ETL

processes, including creating and implementing custom ETL processes.

Experience with cloud services (AWS, Azure), and understanding of distributed systems, such as Hadoop/MapReduce, Spark, or equivalent technologies.
Knowledge of Kafka, Kinesis, OCI Data Integration, Azure Service Bus or

similar technologies for real-time data processing and streaming.

Experience designing, building, and maintaining data processing systems, as

well as experience working with either a MapReduce or an MPP system.

Strong organizational, critical thinking, and problem-solving skills, with clear

understanding of high-performance algorithms and Python scripting.

Experience with machine learning toolkits, data ingestion technologies, data

preparation technologies, and data visualization tools is a plus.

Excellent communication and collaboration abilities, with the ability to work in a dynamic, team-oriented environment and adapt to changes in a fast-paced

work environment.

Data-driven mindset, with the ability to translate business requirements into

data solutions.

Experience with version control systems e.g. Git, and with agile
Certifications in related field would be an added advantage (e.g. Google

Certified Professional Data Engineer, AWS Certified Big Data, etc.).
#J-18808-Ljbffr