Data Engineer

About the company

Yabx is a global fintech venture under Mahindra Comviva focused on making financial services more accessible for the 2 billion-plus under-banked population across Africa, Asia, and Latin America. The company leverages technology and analytics to lower the cost of delivering financial products and services, working closely with telecom operators, banks, MFIs, credit bureaus, mobile financial providers, and handset vendors. Its goal is to build innovative, world-class products that improve everyday life for these communities. Incubated by Mahindra Comviva, Yabx operates across The Hague, New Delhi, and Nairobi, and is powered by a team of seasoned industry professionals and entrepreneurs with international experience.

Role overview

This position is for a Data Engineer who will design, build, and improve data systems that support analytics, reporting, and predictive use cases. The role involves turning raw information into reliable pipelines and data products that can be used across the business.

What you will do

• Study raw data, structure it effectively, and create dependable data pipelines using Apache NiFi.
• Assess business objectives and translate them into data solutions.
• Look for patterns and trends in data, then present findings clearly.
• Perform advanced data analysis and communicate the outcomes.
• Prepare datasets for predictive and prescriptive modeling.
• Develop algorithms and proof-of-concept prototypes.
• Merge information from multiple sources into usable datasets.
• Improve the accuracy, consistency, and reliability of data using Spark.
• Use Airflow to schedule and run PySpark jobs.
• Find opportunities to collect or source additional data.
• Create analytical utilities and software components to support data work.
• Work closely with data scientists and architects on cross-functional projects.

Required experience and qualifications

The ideal candidate should have 3 to 6 years of experience in data engineering. A strong background in data models, data mining, and segmentation methods is important. Candidates should be comfortable programming in Java and Python, and have practical experience in SQL database design. Strong numerical reasoning and analytical ability are also essential. A bachelor’s degree in Computer Science, IT, or a related field is expected; a master’s degree is considered an advantage. A data engineering certification, such as IBM Certified Data Engineer, will be a plus.

Tools and technologies

The role calls for working knowledge of Apache NiFi, Spark, Airflow, SQL, MySQL, Java, Python, and cloud environments such as AWS, GCP, or Azure.

Eligibility

Applicants should hold a B.Tech or B.E. in any specialization.