Data Platform Engineer

Overview

Data Platform Engineer role on Verifone’s Platform Engineering team, owning and evolving an end-to-end data platform spanning streaming, databases, and infrastructure.

What you'll do

• Design, build, and optimize end-to-end streaming and batch data pipelines for AI, machine learning, and analytics.
• Work with Kafka streaming and ETL batch processes, including file/table formats like Parquet, Iceberg, and Delta Lake.
• Collaborate to enforce best practices for data flow, schema design, security, scalability, and performance.
• Manage and operate Kafka clusters (including AWS MSK), including Kafka Connect and KSQL.
• Operate production databases including Redis, PostgreSQL, MySQL, and MongoDB.
• Develop automation and CI/CD pipelines, including Infrastructure as Code and container orchestration.
• Support observability tooling and participate in on-call incident response.

What you'll need

• 5+ years of overall engineering experience across data pipelines, database operations, and infrastructure.
• Hands-on production experience with Kafka or another distributed streaming platform.
• Operational experience with at least two of: Redis, PostgreSQL, MySQL, MongoDB, Redshift, or Snowflake.
• Proven experience building or maintaining ETL/ELT or streaming pipelines for analytics or operational use cases.
• Strong scripting/automation skills in Python and/or Bash to reduce manual toil.
• CI/CD and Infrastructure-as-Code experience, with Terraform preferred.
• Cloud engineering experience, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).

Details

• Location: Bengaluru, Karnataka, India.
• Work culture described as in-office (physically co-located).
• On-call rotation and occasional weekend support mentioned.