
Data Engineer / Data Scientist
OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, PayPal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX, and other top-tier investors.
Role Overview
We are seeking a Data Engineer / Data Scientist to architect and maintain the data backbone of the Growth Pod. You will design, implement, and optimize ETL pipelines for moving data from AWS to GCP, ensuring comprehensive visibility across the activation funnel. Your work will deliver reliable pipelines into BigQuery, empower analytics, power automation, and enable data-driven growth. This is a high-ownership, in-office Bangalore position where your expertise in ETL, cloud data platforms, and analytics will drive measurable impact.
Key Responsibilities
- Growth Data Infrastructure: Design and maintain reliable, scalable data pipelines and event tracking for full-funnel analytics.
- Funnel Analytics & Observability: Drive observability, instrument user events, collaborate on dashboards & reporting.
- Experimentation & A/B Analytics: Build models and ETL flows for experimentation, enabling rapid analysis.
- Data Integration: Collaborate with Product, Backend, and Marketing to integrate leading tools.
- Data QA & Compliance: Ensure quality, privacy, and security best practices.
- Insight Generation: Deliver actionable insights to drive activation and strategic growth.
What we are looking for
Must haves:
- Experience designing and maintaining ETL pipelines.
- In-depth knowledge of BigQuery: schema design, query optimization, advanced SQL, and analytics.
- Proven track record of managing data flows between AWS and GCP (especially S3 to BigQuery).
- Strong grasp of ETL principles, data ingestion, and pipeline automation.
- Proficiency with event tracking, data warehousing, and analytical pipeline architecture in fast-paced tech environments.
- Experience integrating analytics, CRM, or marketing automation tools into data warehouses.
- Obsession with data reliability, observability, and quality.
- Ability to work independently and collaboratively in a growth-focused, high-ownership team.
- Monitoring and optimising queries running on BigQuery.
What helps you stand out:
- Prior work supporting growth, activation, or funnel analytics teams.
- Experience delivering customer journey observability.
- Built scalable event tracking/analytics for high-transaction systems.
- Capability in statistical analysis and/or machine learning for insight generation.
- Data visualization expertise.
- Ability to communicate complex insights to cross-functional teams.
What we Offer
- Competitive salary and opportunity for industry impact.
- Onsite, high-ownership role in Bangalore.
- Shape data-driven culture and systems at a fast-growing company.
- Professional development within world-class fintech.
- Commitment to inclusion—diverse perspectives valued.
We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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