Data Engineer

Olyv, Inc.; Bengaluru; Sur place; INR 1 200 000 - 2 000 000; Plein temps

Résumé du poste

Olyv, Inc. in Bengaluru is seeking a Data Engineer to design, build, and scale our data infrastructure powering credit, risk, and product decisions.

You will own the data warehouse, implement scalable ETL/ELT pipelines across sources, collaborate with Risk, Analytics, and Data Science teams, and ensure data quality and compliance for fintech lending.

Qualifications

• 2–6 years of data engineering experience.
• Strong SQL and Python.
• Hands-on with distributed data systems (Spark, Kafka, or similar).
• Experience with cloud data warehouses and orchestration tools (Airflow, dbt).
• Solid understanding of data modelling, schema design, and pipeline optimization.
• Experience with GCP/Azure data stack.

Responsabilités

• Design, build, and maintain scalable ETL/ELT pipelines across transactional, behavioural, and third-party data sources.
• Own data warehouse architecture and optimize for performance, cost, and reliability.
• Partner with Risk, Product, and Analytics teams to define data models and ensure data quality/governance.
• Build and maintain real-time and batch data pipelines (streaming + scheduled jobs).
• Set up monitoring, alerting, and data quality checks to catch pipeline failures early.
• Collaborate with Data Science/ML teams to productionize models and feature pipelines.
• Ensure compliance with data security and privacy standards relevant to fintech/lending.

Connaissances

SQL

Python

Distributed data

Spark

Kafka

Outils

Airflow

dbt

GCP

Azure

Description du poste

Olyv (formerly SmartCoin) is a Bengaluru-based fintech building lending and financial products at scale. We're looking for a Data Engineer to build and scale the data infrastructure powering our credit, risk, and product decisions.

• Employment type: Full-time

What You'll Do

• Design, build, and maintain scalable ETL/ELT pipelines across transactional, behavioural, and third-party data sources
• Own data warehouse architecture and optimize for performance, cost, and reliability
• Partner with Risk, Product, and Analytics teams to define data models and ensure data quality/governance
• Build and maintain real-time and batch data pipelines (streaming + scheduled jobs)
• Set up monitoring, alerting, and data quality checks to catch pipeline failures early
• Collaborate with Data Science/ML teams to productionize models and feature pipelines
• Ensure compliance with data security and privacy standards relevant to fintech/lending

Must-Haves

• 2–6 years of experience in data engineering
• Strong SQL and Python
• Hands-on experience with distributed data systems (Spark, Kafka, or similar)
• Experience with cloud data warehouses GCC and orchestration tools (Airflow, dbt)
• Solid understanding of data modelling, schema design, and pipeline optimization
• Experience with GCP/Azure data stack

Good to Have

• Exposure to real-time streaming architectures
• Experience with data governance/compliance in regulated environments

What We Offer

• Ownership of core data infrastructure at a fast-scaling fintech
• Direct collaboration with founders and cross-functional leads