Data Platform Engineer

About the role

Rather than being a single-technology specialist position, this is a unique opportunity to your generalist skillset to own and evolve a broad data platform that spans streaming pipelines, multiple database technologies, on prem and cloud infrastructure, and DevOps/SRE operational tooling.

What you'll do

• Data Platform & Pipeline Development
• Work with diverse data technologies and formats: streaming via Kafka, batch via ETL processes, file formats such as Parquet
• Collaborate with data engineering and development teams to enforce best practices for data flow, schema design, security, scalability, and performance
• Continuously improve data pipeline reliability, latency, and throughput across the full SDLC
• Support and integrate AWS data tooling including Athena, Glue, Redshift, and S3-based data lake patterns

What you need

• 5–9 yrs of experience
• AWS
• Kubernetes
• Terraform
• CI/CD
• Linux
• Python
• Any graduate

Good to have

• Bash
• Helm
• ETL
• Kafka
• Redis
• PostgreSQL