Design, develop, and maintain robust data pipelines for the extraction, transformation, and loading (ETL) of large volumes of structured and unstructured data.
Lead the execution of data migrations, including data extraction, transformation, schema mapping, validation, and cutover.
Work closely with product, technology, delivery, and compliance teams to gather migration requirements.
Implement automation solutions for ETL/migration processes to improve efficiency.
Monitor and troubleshoot migration pipelines, addressing issues promptly.
Document migration processes and contribute to process improvement initiatives.
Provide technical support during incident resolution related to migration pipelines.
Actively participate in agile scrum meetings such as daily standups.
Propose and implement new ideas to improve existing products and services.
Perform code reviews for other engineers, ensuring code quality.

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.

Big Data Engineer

Key skills