data
Posted Jan 6Data Engineer - E3
at BitGo
IndiaOn-site
Responsibilities
- Design, build, and maintain scalable, reliable data pipelines that collect, transform, and curate data from internal systems.
- Build automated reconciliation, monitoring and alerting systems.
- Enhance and expand BitGo’s blockchain reporting infrastructure.
- Integrate select external data sources to enrich the data platform.
- Ensure high data quality and auditability across all pipelines.
- Optimize data systems for near real-time processing and insights. Skills & Experience:
Requirements
- experience in building robust, scalable data pipelines and monitoring systems. The ideal candidate will have expertise in SQL and Python, and hands-on
- experience with modern data platforms such as Snowflake, dbt, and cloud-native orchestration tools (e.g., Airflow).
- Familiarity with reconciliation processes, anomaly detection, and data quality monitoring is key.
- A background in supporting audit, compliance, or risk functions is a plus, along with a collaborative mindset and attention to detail in working with control-focused teams.
- experience in relevant field (Data Engineer, Software Engineer) Strong
- experience with server-side languages (Python) Strong
- experience with SQL databases like Postgres or MySQL •
- Experience building data pipelines/ETL and familiarity with design principles •
- Experience with data warehouse technologies and data modeling best practices (Snowflake, BigQuery, Spark etc) Strong
- experience with systems design and event driven systems (Kafka)
- Experience with unit and functional testing and debugging •
- Experience in Git/GitHub and branching methodologies, code review tools, CI tools, JIRA, Confluence, etc.
- Ability to work independently in a fast-paced environment
- Engineering degree in Computer Science or equivalent
- Experience in Financial Services and/or Financial Technology
- Understanding and strong interest in cryptocurrencies and blockchain industry •
- Experience with large-scale, real-time, and distributed applications •