Original listing text, shown exactly as published by the company.
What you will do
- Design and implement data platform solutions including data streaming, CDC, data warehouse, data lake, and ETL/ELT pipelines using modern cloud-based technologies.
- Contribute to the development and adoption of best practices for data platform configuration management, observability, testing, and operational readiness.
- Build and support end-to-end data integration pipelines from source systems through Kafka and/or Striim to analytical and operational targets.
- Participate in engineering design sessions and code reviews for complex data solutions across multiple systems and platforms.
- Troubleshoot and resolve production issues related to data platform performance, scalability, and reliability.
- Collaborate with architects, platform engineering, security, and governance teams to align solutions with enterprise standards and data strategy.
- Support implementation of operational resilience practices, including monitoring, alerting, and data recovery processes.
- Evaluate and help adopt new technologies and tools that improve data platform capabilities.
- Contribute to documentation, design artifacts, and engineering standards.
- Mentor junior and mid-level engineers and support team development.What you will bring
- Bachelor’s degree in computer science or equivalent experience.
- 6–9+ years of software or data engineering experience.
- Strong hands-on experience building and supporting data platforms in production environments.
- Experience with CI/CD pipelines and automation for data platform deployments.
- Experience with Oracle, PostgreSQL, Redshift, Snowflake, Kafka (or similar technologies).
- Experience with Docker, Kubernetes, Terraform, Ansible, or similar tools.
- Strong competency in SQL and Python.
- Solid understanding of distributed systems, cloud architectures, and design patterns.
- Strong problem-solving, communication, and collaboration skills.
- What will set you apart
- Bachelor’s degree in computer science or equivalent experience.
- 6–9+ years of software or data engineering experience.
- Strong hands-on experience building and supporting data platforms in production environments.
- Experience with CI/CD pipelines and automation for data platform deployments.
- Experience with Oracle, PostgreSQL, Redshift, Snowflake, Kafka (or similar technologies).
- Experience with Docker, Kubernetes, Terraform, Ansible, or similar tools.
- Strong competency in SQL and Python.
- Solid understanding of distributed systems, cloud architectures, and design patterns.
- Strong problem-solving, communication, and collaboration skills.
This job description is not intended to be an exhaustive list of all duties, responsibilities, and qualifications. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. This job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per the terms and conditions of your employment contract.
