Data Migration Engineer

Title: Data Migration Engineer
Location: Los Angeles, CA (Remote)
Duration: 12 Months

The qualified candidate must possess the following skills and experience in the following areas:

• A bachelor's degree in Computer Science, Data Science, Software/Computer Engineering, or a related field.

• Proven experience as a data migration engineer or in a similar role, with a track record of manipulating, processing, and extracting value from large disconnected datasets.

• 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 methodologies/scrum.

• Certifications in related field would be an added advantage (e.g. Google Certified Professional Data Engineer, AWS Certified Big Data, etc.).