Back
Metro location, mid-level (4+ years), and broad data platform skillset create high applicant competition.
Core data platform, streaming, and cloud skills are transferable, though payments/PCI experience adds moderate domain bias.
Explicit 4+ years plus mandatory Kafka, database, cloud, and IaC skills enforce high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and optimize end-to-end data pipelines (streaming and batch) supporting AI, machine learning, and analytics initiatives.
Manage and support Kafka streaming infrastructure including day-to-day operations, maintenance, and migration to Kubernetes.
Develop automation, CI/CD pipelines, and Infrastructure as Code for data platform and cloud infrastructure operations on AWS.
4+ years engineering experience with data pipelines, database operations, and infrastructure including Kafka and Redis.
Operational experience with at least two databases among Redis, PostgreSQL, MySQL, MongoDB, Redshift, or Snowflake.
Strong scripting skills in Python and/or Bash; CI/CD pipeline and Infrastructure as Code experience (Terraform preferred).
Cloud engineering experience with AWS services (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
Broad generalist skilled in full data platform stack: streaming, databases, infrastructure, DevOps, and SRE.
Experience managing production Kafka clusters and migrating streaming services to Kubernetes.
Operational mindset focused on platform automation, reliability, security, and incident response workflows.