Migration Engineer leading data migrations to GiG’s CoreX platform with a focus on data integrity and collaboration.
Responsibilities
Data Pipeline Design & Implementation: Design, develop, and maintain robust data pipelines for the extraction, transformation, and loading (ETL) of large volumes of structured and unstructured data, ensuring scalability and efficiency.
Migration Execution & Validation: Lead the execution of data migrations, including data extraction, transformation, schema mapping, validation, and cutover, ensuring data integrity and consistency.
Collaboration & Stakeholder Engagement: Work closely with product, technology, delivery, and compliance teams to gather migration requirements, align on data definitions, and ensure successful migration outcomes.
Automation & Optimization: Implement automation solutions for ETL/migration processes to improve efficiency and reduce manual intervention.
Monitoring & Troubleshooting: Monitor and troubleshoot migration pipelines, addressing issues promptly to ensure smooth operations.
Documentation & Process Improvement: Document migration processes, contribute to process improvement initiatives, and ensure adherence to best practices.
Technical Support & Incident Resolution: Provide technical support during incident resolution related to migration pipelines and data discrepancies.
Agile Participation: Actively participate in all agile scrum meetings such as daily standups, refinement sessions, and retrospectives.
Innovation & Continuous Improvement: Propose and implement new ideas to improve existing products and services, fostering a culture of innovation.
Code Review & Mentorship: Perform code reviews for other engineers, ensuring code quality and knowledge sharing within the team.
Stakeholder Communication: Effectively communicate with respective stakeholders, ensuring that all information is transmitted correctly and to the right audience.
Requirements
Bachelor’s/Master’s in Computer Science, Engineering, or related field.
3+ years of experience in data engineering, ETL processes, or data migration.
Strong SQL skills and experience working with structured and unstructured datasets.
Knowledge of data governance, compliance, and data quality assurance.
Solution-oriented mindset with the ability to troubleshoot and resolve issues.
Strong experience with Big Data and streaming technologies including ClickHouse, Kafka and NiFi
Strong knowledge of Microservices, APIs, GraphQL
Experience in the iGaming industry or regulated markets.
Experience with automation of ETL/migration processes.
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