We are looking for a Senior Analytics Platform Engineer to develop solutions to support the delivery of product roadmaps for multiple Data Analytics platforms. The ideal candidate will have experience in cloud infrastructure, containerization, and orchestration, as well as data analytics concepts and experience with data ingestion, curation, and orchestration tools.
Requirements
- Minimum 5-7 years of experience in software/platform engineering practices
- Extensive hands-on experience designing, deploying, and operating cloud-native infrastructure (AWS preferred)
- Good experience in data & integration and understanding data analytics concepts, ETL/ELT and integration platform architecture
- Strong understanding and experience in data analytics ecosystem and prefer to have experience in the data ingestion, curation and orchestration tools
- Good knowledge of cloud networking, security best practices, and cost optimization
- Experience with container platforms and orchestration (Kubernetes, Docker)
- Proficient with IaC tools (Terraform, CloudFormation or equivalent)
- Strong experience building and maintaining CI/CD pipelines and automation
- Practical programming/scripting skills (Python, Bash/Shell)
- Comfortable working on Linux/Unix environments
- Solid understanding of version control, release management, deployments, and related tooling
- Familiar with SDLC, basic QA/testing practices, and release verification
- Experience with monitoring, logging and observability tooling (Prometheus, Grafana, Acceldata or similar)
- Proven ability to maintain platform availability, troubleshoot production issues, and implement optimizations
Benefits
- Competitive salary
- Flexible work arrangements
- Hybrid work environment
- Relocation assistance (visa sponsorship not mentioned)
