Junior Data Engineer, Fintech

Work set-up: 
Full Remote
Contract: 
Experience: 
Junior (1-2 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science or Informatics., Knowledge of data modeling, mining, and warehousing techniques., Proficiency in programming languages such as Java, Scala, or Python., Good knowledge of SQL and strong analytical skills..

Key responsibilities:

  • Design and implement scalable data pipelines for batch and streaming data.
  • Collaborate with Data Architects, ML engineers, and Data Analysts on data projects.
  • Develop and maintain core libraries for data processing and ingestion.
  • Create processes for real-time data streaming from multiple sources.

Optasia logo
Optasia Financial Services SME https://optasia.com/
201 - 500 Employees
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Job description

Optasia is a fully-integrated B2B2X financial technology platform covering scoring, financial decisioning, disbursement & collection. We provide a versatile AI Platform powering financial inclusion, delivering responsible financing decision-making and driving a superior business model & strong customer experience with presence in 30 Countries anchored by 7 Regional Offices.

We are seeking for enthusiastic professionals, with energy, who are results driven and have can-do attitude, who want to be part of a team of likeminded individuals who are delivering solutions in an innovative and exciting environment.  Data is at the core of Optasia’s growth plan, and the Data Engineering team is a significant contributor to data-driven automated decision making.  We are currently leveraging and ingesting data from multiple sources from MNOs into our large-scale big data clusters and we are in the process of optimizing and modernizing our processes and infrastructure as the company scales.

We are looking for a Junior Data Engineer to join our growing Data Engineering team. As part of our team, you will be able to design and implement highly scalable end-to-end batch and streaming data pipelines and contribute to Optasia’s success.

What you will do

  • Work closely with Data Architects, ML engineers and Data Analysts for the design, delivery and support of the company’s ETL and ML pipelines
  • Develop and maintain our core libraries for batch processing and ingestion of large volumes of data
  • Design and develop new processes for real-time streaming of data from multiple sources
  • Develop and maintain the fast, accurate and efficient injection of data to the big data infrastructure
  • Experiment with and adopt novel data engineering design patterns and technologies

 

What you will bring

  • Bachelor's or Master's degree in Computer Science or Informatics
  • Knowledge of data modeling, mining and warehousing techniques
  • Good knowledge of one or programming languages, preferably Java, Scala or Python
  • Good knowledge of SQL
  • Strong analytical skills and attention to detail
  • Passion for learning new technologies and eagerness to collaborate with other creative minds

Will be considered a plus

  • Hands-on experience with Big Data technologies (Apache Spark, YARN, HDFS, MapReduce)
  • Hands-on experience with NoSQL databases
  • Experience on mathematical modelling, algorithms development, and machine learning

 

Why you should apply

What we offer:

👟 Flexible remote working

💸 Competitive remuneration package

🏝 Extra day off on your birthday

💰 Performance-based bonus scheme

👩🏽‍⚕️ Comprehensive private healthcare insurance

📲 💻 All the tech gear you need to work smart

Optasia’s Perks:

🎌 Be a part of a multicultural working environment

🎯 Meet a very unique and promising business and industry

🌌 🌠 Gain insights for tomorrow market’s foreground

🎓 A solid career path within our working family is ready for you

📚 Continuous training and access to online training platforms

🥳 CSR activities and festive events within any possible occasion

🍜 Enjoy comfortable open space restaurant with varied meal options every day

🎾 🧘‍♀️ Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises

Required profile

Experience

Level of experience: Junior (1-2 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Willingness To Learn
  • Detail Oriented
  • Collaboration
  • Analytical Skills

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