Data Engineer

Overview

Data Engineer responsible for building data pipelines, backend services, and data infrastructure supporting reporting, compliance analytics, model training, and real-time risk decisioning.

What you'll do

• Build and maintain batch and streaming data pipelines.
• Develop backend services and RESTful APIs.
• Create and maintain Airflow DAGs for analytics and feature pipelines.
• Write and tune Spark jobs and SQL transformations.
• Add monitoring, alerting, and data quality checks.
• Debug production issues across data and service infrastructure.
• Contribute to identity graph modeling for fraud detection.

What you'll need

• 1–3 years of professional software engineering experience.
• Production-quality programming skills in Python, Java, or Scala.
• Strong SQL skills, including joins, window functions, and aggregations.
• Understanding of OLTP and OLAP databases.
• Experience with a distributed data processing framework, preferably Spark.
• Experience building or maintaining backend services and REST APIs.
• Familiarity with AWS and services such as S3, EC2, and managed databases.

Nice to have

• Infrastructure knowledge including Docker, Kubernetes, or Terraform.
• Experience with Kafka, Airflow, or distributed workload tuning.
• Exposure to data platforms, observability tools, graph databases, or ML workflows.
• Experience in fraud, risk, identity, fintech, or real-time domains.

Details

• Location: Bangalore.