Data Engineer optimizing data integrations for Retail industry. Combine multiple data sources and design ETL workflows while maintaining data quality and security.
About the role
- Data Engineer responsible for building and maintaining data transformation pipelines at OnePay. Collaborating across teams in a mission-driven fintech environment.
Responsibilities
- Building and maintaining One's data infrastructure.
- Developing and owning One's streaming data transformation pipeline.
- Managing and supporting reporting and analytics tools.
- Collaborating closely with our Data Analysts and Data Scientists.
- Tracking and defining metrics around performance.
- Additional duties as assigned by your manager.
Requirements
- 5 + years of experience
- Experience in Databricks, Apache Spark, Scala, Python, SQL
- Experience designing and implementing low latency data pipelines using Spark structured streaming
- Experience optimizing SQL queries and lake / warehouse data structures
- Cost-conscience creative problem solving
- Proficient in AWS cloud services and technologies
- Experience building, shipping — and growing — non-trivial products & services
- Passion for your craft, people, and our mission. You value quality across code, communication, and culture.
- A desire to keep growing your skills, and an ability to learn quickly. We hire for slope, not just y-intercept.
Benefits
- Competitive salary, stock options, and benefits from Day 1
- Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs
- Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays)
- Monthly transport and work-from-home allowances
- A high-growth, mission-driven, inclusive culture where your work has real impact
Job title
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Degree requirement
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