Beschreibung
Accountabilities
- Design, develop and maintain scalable data pipelines and integration solutions using technologies such as Python, dbt, Workato, Rivery and Snowflake.
- Build high-performance data processing systems capable of handling large datasets, complex transformations and evolving integration requirements.
- Develop and maintain integrations with third-party platforms and external systems to expand connectivity across the partner ecosystem.
- Ensure data quality, consistency, security and integrity throughout ingestion, transformation, processing and delivery workflows.
- Implement scalable architectures and engineering best practices to optimize platform performance, reliability and maintainability.
- Troubleshoot, investigate and resolve technical issues affecting data pipelines, integrations and backend services.
- Develop and implement automated data validation, monitoring and quality assurance strategies to maintain reliable data flows.
- Collaborate with onshore engineering teams and product managers to understand business requirements, provide technical guidance and align solutions with established operating procedures.
- Participate in scheduled operational activities, audits and support processes to ensure smooth platform operations and effective collaboration with internal teams.
- Work closely with cross-functional stakeholders to deliver sustainable, reusable and high-quality data integration solutions.
- Create and maintain comprehensive technical docume
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