Lead Data Engineer

Hi, we are CreditBook!

Posted on: 
January 3, 2022

Currently being used by hundreds of thousands of micro businesses across Pakistan in a matter of months, our customer centric approach has built trust with our users to help them digitise their businesses through technology. CreditBook is a digital ledger  that tracks bookkeeping and credit collection. With close to 1 million users and two  mentions in the Forbes 30 Under 30 list this year, we are just getting started! We are always looking for ambitious individuals to add to our team, from anywhere in the  world. If this is an opportunity that resonates with you, and you want to be at a  company that puts impact and customers first with operators that have had success  in Pakistan and Europe, then continue to read below!

Who are we looking for?

As a Lead Data Scientist - Fintech at CreditBook, you'll lead our quest to democratize financial products in Pakistan by leveraging data.

We are looking for the sort of personality who thrives in a fast-moving, quickly changing, dynamic atmosphere. Has a good understanding of (and is excited by) the challenges of scaling a tech company. You are the sort of person who is comfortable in ambiguity and can deduce a methodology to tackle such uncertainty.

How you’ll make an impact

  • Create and maintain optimal data pipeline architecture
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

What we’d love to see

  • Excellent working SQL knowledge and experience working with relational databases.
  • Experience with relational SQL and NoSQL databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience with CGP cloud service: GCS, BQ, Google Cloud Dataproc
  • Experience with big data tools: Hadoop, Spark, Kafka, etc
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Experience:

  • 3+ years of data engineering experience

Benefits & Compensation:

  • Competitive salary with health benefits
  • Internal and external Masterclasses from individuals at Facebook, Google, Pinterest, etc.
  • Become part of a multicultural team, spread across 3 continents.
  • We believe in a remote first culture. Work when you want, how you want -- onsite or remote or both!

If you’re still nodding your head in agreement and this seems like a good fit, apply away— we’re looking for you!

Apply now

Apply now

If this seems like a good fit, don’t hesitate to reach out — we’re looking for you!

Apply now