Data Engineer

Cerebras; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health insurance

Hybrid work model

Monthly allowances

Inclusive culture

Job summary

A leading fintech company is seeking a Data Engineer in Bengaluru to build and maintain data transformation pipelines and reporting infrastructure. The ideal candidate will have over 5 years of experience, including expertise in Databricks, Apache Spark, and SQL. This position offers a competitive salary, comprehensive health insurance, and a hybrid work model, ensuring a balanced work-life experience.

Qualifications

• 5+ years of experience in relevant fields.
• Experience designing and implementing low latency data pipelines.
• Proficient in writing and optimizing SQL queries.
• Experience optimizing SQL queries and lake/warehouse data structures.
• Cost-conscious 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.

Responsibilities

• Build and maintain One's data infrastructure.
• Develop and own streaming data transformation pipeline.
• Collaborate with Data Analysts and Data Scientists.
• Collaborate closely with Data Analysts and Data Scientists.
• Track and define metrics around performance.
• Attend to additional duties as assigned by your manager.

Skills

Databricks

Apache Spark

Scala

Python

SQL

AWS cloud services

Data transformation pipelines

Tools

Databricks

Apache Spark

Scala

Python

SQL

Spark Structured Streaming

AWS

Job description

Location

Bangalore (Hybrid)

Employment Type

Full time

Department

Engineering

About OnePay

OnePay is an all-in-one financial platform driven by a simple mission: better money makes life better.

Tens of millions of Americans today are unbanked or underbanked, meaning they don’t have enough money in savings to cover a minor emergency. They pay too much in fees, don’t have access to credit at affordable rates, and have little ability to grow their wealth. OnePay’s vision is to create a single app for consumers to save, spend, borrow, and grow their money, bringing our mission to life with simple and accessible banking, credit, and payments products that deliver a best-in-class experience to millions of customers. Our products include:

• Checking and high-yield savings accounts
• Domestic and international peer-to-peer payments
• Credit Builder and credit score monitoring
• Digital wallet / contactless payment solutions
• Credit card program
• Buy-now-pay-later installment loans at Walmart
• Prepaid mobile service

Why do we have a right to win? We have the backing of Walmart (a Fortune 1) and Ribbit Capital (a preeminent fintech investor), are deeply embedded with the distribution of the world’s largest omnichannel retailer, and have an industry-leading multi-product value proposition — all in addition to having some of the best people and talent in the industry.

There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for the opportunity. Join us!

The Role

As a data engineer, your mandate is to build the data transformation pipelines & reporting infrastructure that serve our members and run our company. This role will impact One’s vision by writing, reviewing, and shipping code and collaborating with others across the company. You will work closely across the Engineering, Product, Compliance and Customer Support team(s) working with stakeholders as highly technical, communicative, and emotionally intelligent partners. This role reports to the Manager, Data Engineering.

This role is responsible for:

• 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.

You Bring

• 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.

What We Offer

• 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

Standard Interview Process

• Initial Interview with Talent Partner
• Technical or Hiring Manager Interview
• Team Interview
• Executive Interview
• Offer!

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at [e-mail].