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What You’ll Be Doing:
Collaborate with multi-functional teams, including full stack engineers, data / ml ops engineers, and SREs, to craft, implement and maintain scalable services, automations and workflows.
Develop and support data models and schemas that provide blazing-fast performance. Constantly optimize service workflows to ensure seamless data collection and onboarding.
Implement data quality checks and observability mechanisms to ensure data integrity and accuracy at every stage. Detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem.
Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and best practices to improve our data science platform, empowering data scientists and analysts alike.
Foster a culture of learning and knowledge-sharing within the team.
What We Need To See:
5+ Years of experience with Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
Experience with cloud-based data platforms like AWS, Azure, or GCP.
Strong programming skills in languages such as Python, Java, or Scala, with experience in building scalable and efficient systems.
Solid knowledge in Linux environment.
Ways To Stand Out From The Crowd:
Attention to detail is unwavering. You take pride in delivering data services of the highest quality, turning it into insights that power critical business decisions.
Thriving in a dynamic environment, able to juggle multiple priorities admirably without compromising on quality or precision.
Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
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