Data Engineer - DWH

Posted 10 Days Ago
Be an Early Applicant
India
Junior
Fintech • Payments • Financial Services
The Role
As a Data Engineer at FairMoney, you will design and maintain data ingestion and integration solutions, build data orchestration pipelines using Airflow, ensure data quality and reliability, and assist business stakeholders in understanding and leveraging data for analytics and decision-making.
Summary Generated by Built In

Description

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. 

In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents.FairMoney thrives on its diverse workforce, bringing together talent from over 27 nationalities. This multicultural team drives the company’s mission of reshaping financial services for underserved communities.To gain deeper insights into FairMoney’s pivotal role in reshaping Africa’s financial landscape, we invite you to watch informative .

Role and Responsibilities

As a Data Engineer at FairMoney, You will be responsible for mainly, but not limited to:

  • Work closely with Data Analysts/Scientists, understand the business problems, and translate the requirements into a database, ETL, or reporting solution
  • Design, build, and maintain ingestion and integration of multiple types of data sources 
  • Proficiency in converting heterogeneous data sources to simplified Data Models following Data Warehousing Best Practices for reducing the time-to-value of data for analysis
  • Build data orchestration pipelines over Airflow for automation and scheduling
  • Implement tools and processes for ensuring data quality, and freshness with reliable, versioned, and scalable solutions
  • Identify issues in data flow and improvements in data stack which comprises visualization tools (Tableau/Power BI), data warehouse (Snowflake), modeling (dbt), git, and other in-house built as well as open source tools.
  • Implementing new technologies in a production environment to create a frictionless platform for data analytics and science teams 
  • Make it easy for business stakeholders to get a better understanding of data, and make the organization data-literate for self-serve analytics.
Requirements
  • Highest proficiency in SQL and ability to build optimized queries on very large datasets.
  • 2-5 years of work experience in designing, developing & maintaining ETL, databases & OLAP Schema, and Public Objects (Attributes, Facts, Metrics, etc.)
  • Proficient with transactional Python and good to have, as well as analytical Python.
  • Proficiency in data principles, system and data architecture, and dimensional data modeling for Data Warehousing and Business Intelligence.
  • Basic knowledge of Tableau/Power BI dashboard building to create monitoring dashboards.
  • Good to have development experience in building business applications with a good command of Bash, Docker, Kubernetes and Cloud Platforms.
  • Effectively form relationships with the business in order to help with the adoption of data-driven decision-making.
  • Ability to learn new software and technologies quickly to create prototypes for business use cases and make them ready for production.
Benefits
  • Training & Development
  • Family Leave (Maternity, Paternity)
  • Paid Time Off (Vacation, Sick & Public Holidays)

Recruitment Process

  • A screening interview with one of the members of the Talent Acquisition team ~30 minutes.
  • Assignment to be done at home.
  • Technical Interview - SQL/Python proficiency with Tech.Team ~60 minutes
  • Technical design interview - Shubham Jain ~60 minutes

Top Skills

Python
SQL
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The Company
Bengaluru, Karnataka
923 Employees
On-site Workplace
Year Founded: 2017

What We Do

FairMoney is building the leading mobile bank for emerging markets. Our goal is to rebuild Africa's money story by offering Tier 1 digital financial services to merchants and consumers alike.

In our key market; Nigeria, FairMoney is currently the Most downloaded fintech app in Nigeria with over 10 million downloads and the #1 digital bank in Nigeria.

FairMoney offers a range of digital financial products including, near-instant digital loans 24/7, investment products, savings, payments, and cards directly via its mobile app.
We give 10,000 loans daily (one every 8 seconds!) in Nigeria and India, and have banking operations in Nigeria, with over 6 million users.

We're backed by international investors and have raised a total of $89.9M in funding, to support our development.

FairMoney is unique thanks to its international exposure (with offices on 3 continents) and its impact-driven mission: we bring financial inclusion to underbanked people in emerging markets!

We are a team of close to 600 people, and for most of the positions, it's possible to join FairMoney remotely or in one of our offices: in Paris, Bangalore, Lagos, and Riga.

We value candidates who embrace our company values:
• Growth Mindset – We believe in the power of a Growth Mindset, not fixed or static.
• Big Plans, Bigger Ambitions - We make big plans, and have even Bigger Ambitions. We are here to build massive scale and drive the fintech revolution across Africa.
• Talent has no passport - We believe that Talent Has No Passport. While opportunity may not be evenly distributed across the world, talent is.
• Start with the Client – We Empathize with our users to optimize our impact. Many of us don’t live where our customers do - we must go in-depth to understand their pain points.

Discover our other values during your discussions with the team.

https://apply.workable.com/fairmoney/?lng=en

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