Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. At least 8 years’ working experience in data platform, data analytics or relevant projects. Proven experience as a Data Engineer, with design and managing enterprise data architecture, including batch and real time processing. Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks. Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions. Proven experience in at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin etc.). Prior experience with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL/NoSQL, Vector and Graph etc.). Excellent problem-solving skills and the ability to work with large, complex data sets. Strong attention to detail, ensuring data accuracy and reliability in all analyses. Effective communication skills to convey complex technical concepts to non-technical stakeholders. Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment. Prior experience of AI technology stack is a great plus. Prior experience in at least one BI tool (Power BI, Tableau, etc.). Related industry experience is a plus.
What You'll Do:️ Manage and maintain application databases for optimal performance Ensure database security, backup, and recovery processes️ Collaborate with developers to optimize queries and troubleshoot issues Monitor database health and recommend improvements Document database configurations and procedures Support deployment of new applications and upgrades
What You'll Do: ️ Design and implement backend architectures and integration frameworks Collaborate with cross-functional teams to deliver end-to-end solutions Translate business needs into scalable technical designs ️ Ensure best practices in system security, reliability, and performance Lead technical discussions and provide guidance on architecture decisions
We do extensive data work across web3 and decentralized assets and prior experience and understanding of both how to access and interpret these technologies is strongly preferred
Support performance monitoring, research initiatives, quality improvement projects and data submissions through accurate data extraction, validation and analysis.