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 growth plan and the Data Engineering team is a significant contributor to Optasia’s success and growth, achieved through data driven insights and decision making. We are currently leveraging and ingesting data from multiple sources into our large-scale big data clusters and develop and run multiple analytical pipelines, over a state-of-the art big data technology stack. We are looking for a Data Engineer to join our growing Data Engineering team. As part of our team, you will be able to enrich and further evolve the company’s big data infrastructure, and the highly scalable end-to-end batch and streaming data pipelines, contributing to Optasia’s success.
What you will do
- Provide technical expertise by improving scalability, stability, accuracy, speed and efficiency of our existing Data systems
- Design and develop end-to-end data processing pipelines
- Develop, maintain and optimize our core libraries for batch processing and ingestion of large volumes of data to the big data infrastructure
- Be comfortable navigating the following technology stack: Hadoop ecosystem, Hive, Scala, Spark, java, Python, scripting (Bash/Python), SQL etc.
- Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality
- Work closely with experienced Data Engineers, Solution Architects, ML engineers and System Administrators for the design, delivery and support of the company’s end-to-end data processing workflows
- Build and maintain CI/CD orchestration
What you will bring
- Bachelor's or Master's degree in Computer Science or Informatics
- 3+ years of experience in Data engineering
- Working experience in software/data engineering and/or operations/DevOps/DataOps
- Working experience with the Apache Hadoop ecosystem (YARN, HDFS, HBase, Spark)
- Working experience with relational and NoSQL technologies
- Systems administration skills in Linux
- Experience with the deployment, configuration and maintenance of distributed systems and data/software engineering tools
Optional requirements (will be considered a plus):
- Worked extensively in Hadoop / Spark / Spark streaming, HIVE
- Experience with data and ML flow engines and tools, e.g. Apache Airflow
- Familiarity with infrastructure as code, e.g. Ansible
- Passion for learning new technologies and eagerness to collaborate with other creative minds.
- Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)
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
Optasia’s Values 🌟
#1 Drive to Thrive: Fully dedicated to evolving. We welcome all challenges and learning opportunities.
#2 Customer-First Mindset: We go above and beyond to meet our partners’ and clients’ expectations.
#3 Bridge the Gap: Knowledge is shared, information is exchanged and every opinion counts.
#4 Go-Getter Spirit: We are results oriented. We identify any shortcomings that hold us back and step up to do what’s needed.
#5 Together we will do it: We are committed to supporting one another and to understanding and respecting different perspectives, as we aim to reach our common goals.
