What are the responsibilities and job description for the Data Migration Consultant position at Commercial Programming Systems, Inc.?
Job Details
Data Migration Contractor
12 month assignment
Remote
W2 only
The Data Migration Contractor shall meet the following key high-level work products and outcomes:
- Develop, construct, test, and maintain data architectures and pipelines.
- Create best-practice ETL frameworks; repeatable and reliable data pipelines that convert data into powerful signals and features.
- Handle raw data (structured, unstructured, and semi-structured) and align it into a more usable, structured format that is better suited for reporting and analytics.
- Work with the cloud solutions architect to ensure data solutions are aligned with company platform architecture and all aspects related to infrastructure.
- Collaborate with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
- Ensure data pipeline architecture will support the requirements of the business.
- Document processes and perform periodic system reviews to ensure adherence to established standards and processes.
- Evaluate and advise on technical aspects of open work requests in the product backlog with the project lead.
- Define Cloud infrastructure Reference Architectures for common solution archetypes
- Real-time bidirectional data pipeline from Oracle transactional databases to a data lake in the cloud.
- Clear, comprehensive documentation related to the data pipeline.
- Regular reports on the status of data pipeline development.
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.).
Contact Paul
Minimum Education Required: Bachelor
Years of Experience Required: More than 5 years
Expected Travel Time: None
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $70 - $75
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