Data Migration Engineer

DatamanUSA has an exciting opportunity for a Data Migration Engineer to work with one of our direct clients in Los Angeles, CA.

Job Title: Data Migration Engineer

Duration: 12 months (with possibility of extension)

Location: Los Angeles, CA (Remote)

Required Skills:

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

Education:

• Relevant degree in Computer Science, Engineering, Information Technology, or related field
• Advanced degrees or certifications related to data engineering

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