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Data Engineer

Location

Bengaluru South, Karnataka, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

KreditBee

Website: kreditbee.in
Job details:
Company Description

KreditBee is India’s leading online credit solution provider, serving a wide user base of over 180 million individuals, including salaried employees and self-employed professionals. With more than 80 million registered users and 15 million unique loan customers, KreditBee offers a variety of financial products such as personal loans, business loans, loans against property, and two-wheeler loans. Backed by partnerships with over 10 financial institutions, KreditBee is supported by its own in-house RBI-registered NBFC, KrazyBee Services Limited, a Systemically Important NBFC. The company is dedicated to meeting diverse credit and personal finance needs with tailored, customer-first solutions.

Role Description

This is a full-time, on-site role for a Data Engineer based in Bengaluru South. The role involves designing, building, and maintaining scalable data pipelines and systems. The Data Engineer will work on collecting, processing, and analyzing large datasets to enable data-driven decision-making. Responsibilities include implementing data integration solutions, ensuring data quality and security, and optimizing data architecture for performance and scalability. Close collaboration with data scientists, architects, and other stakeholders is an integral part of the role.

Qualifications
  • Proficiency in programming languages such as Python, Java, or Scala
  • Experience in working with big data technologies like Hadoop, Spark, or Kafka
  • Strong knowledge of database systems including SQL and NoSQL databases
  • Skills in data modeling, ETL development, and data pipeline construction
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform
  • Ability to diagnose and troubleshoot data-related issues
  • Strong analytical thinking and problem-solving skills
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Knowledge of data visualization tools and practices is an advantage
  • Experience in financial services or fintech is a plus
Click on Apply to know more.

Skills

Python
AWS
Azure
big data technologies
data architecture
data engineer
data modeling
data visualization
database
ETL
fintech
Google Cloud
Hadoop
Java
Kafka
NoSQL
Spark
SQL