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Job Description

We are seeking a skilled Platform Developer to join our team. The successful candidate will be responsible for ensuring the seamless operation and optimization of data pipelines and platforms under Project Ultron.

The Platform Developer will troubleshoot data pipeline issues, conduct rigorous testing, coordinate delivery across teams, and collaborate closely with Data Science and Marketing to uphold platform reliability and performance.

  • Collaborate with the Data Science team to identify, troubleshoot, and resolve data pipeline issues.
  • Conduct thorough end-to-end testing of data pipelines across all environments (development, staging, production).
Data Pipeline Management

The successful candidate will prepare and deliver comprehensive Root Cause Analyses (RCAs) for data-related incidents.

  • Maintain proactive communication with the Marketing team throughout the resolution of bugs and hotfixes.
  • Document issues and remediation actions in detailed RCA documentation for transparency and future reference.
Troubleshooting and Firefighting

The Platform Developer will raise and track prediction data delivery issues across internal and external platforms.

  • Coordinate closely with Marketing, Data Science, and Platform Tech Support teams for resolution and alignment.
  • Assist in building and maintaining egress pipelines from Project Ultron to delivery platforms.
  • Promote adherence to platform engineering best practices and documentation standards.
  • Participate in sprint planning and regular stand-ups with cross-functional teams.
Platform Maintenance and Monitoring

The successful candidate will support the upkeep and monitoring of Project Ultron's platform infrastructure.

  • Identify opportunities for performance tuning, reliability enhancements, and availability improvements.
  • Ensure platform integrity, stability, and data delivery continuity across projects.
  • Contribute to the automation of monitoring and maintenance tasks.
Requirements
  • Experience as a Platform Developer.
  • Experience in Docker, Kubernetes, Apache, Spark, GIT.
  • Experience in at least 1 cloud: priority is AWS Cloud.
  • 2-3 years of experience in data engineering or platform engineering roles.
  • Demonstrated experience in platform operations, data pipeline development, and support.
Skills
  • Proficient in SQL, Python, PySpark, and Pandas for data manipulation and analysis.
  • Hands-on experience with Docker and Kubernetes for containerization and orchestration.
  • Familiar with Git or similar version control systems.
  • Experience working within cloud environments, preferably AWS (e.g., S3, Lambda, EMR, ECS).
Benefits
  • Competitive salary and benefits package.
  • Ongoing training and development opportunities.
  • Opportunities for career advancement.
How to Apply

To apply for this role, please submit your resume and cover letter via our online application portal.