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Tech Stack
Tools & technologiesAWSGoogle Cloud PlatformPythonSparkSQL
About the role
Key responsibilities & impact- Design and build data pipelines for large volumes of payment data that are performant, reliable, and correct — not just fast.
- Own end-to-end data flows: from ingestion and transformation through to the outputs that Finance, Product, and clients depend on.
- Drive data quality across your domain with tooling.
- Work cross-functionally with Product, Finance and enable other Engineering teams via a 'consulting' style model.
- Contribute to how the team works — code review culture, CI/CD standards, ADRs, how we handle incidents — we're building these practices now and senior engineers shape them.
- Help onboard and level up engineers around you; there's real opportunity to make an impact here.
Requirements
What you’ll need- Proven proactivity, technical acumen and the ability to lead initiatives and deliver projects.
- Experience in defining and evolving data engineering standards, architectural guidelines and governance, ideally within a regulated environment.
- Strong Python and SQL skills.
- Hands-on experience with Spark or Flink in production.
- DBT for data transformation.
- StarRocks or a comparable analytical database.
- Experience building and operating data pipelines in AWS and/or GCP.
- Comfortable with data quality tooling and the mindset that correctness is non-negotiable.
- Familiarity with medallion / lakehouse architecture patterns.
- Verbal and written fluency in English is required — we're a distributed team and written communication is important.
Benefits
Comp & perks- Competitive Compensation.
- Remote Work – You can work from everywhere!
- Home Office Bonus – A one-time allowance to help you create your ideal home office.
- Work Equipment.
- Stock Options.
- Health Plan wherever you are.
- Flexible Days Off.
- Language, Professional, and Personal Growth courses.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLSparkFlinkDBTStarRocksAWSGCPdata pipelinesdata transformation
Soft Skills
proactivitytechnical acumenleadershipcommunicationcollaborationmentoringconsultingcode reviewincident handlingimpactful contribution
