Design backend services and data pipelines to handle and process large-scale datasets from diverse sources

Collaborate with Product Managers and Engineers to create ML/AI-driven systems for actionable insights and workflow automation

Build APIs and internal tools to facilitate analytics, reporting, and real-time data visualizations

Define data models, governance policies, and standards to maintain data integrity and accessibility across teams

Optimize pipelines using techniques like indexing, caching, and asynchronous processing

Shape architectural decisions on event-driven systems, distributed workflows, and scalable job orchestration

Enhance CI/CD workflows, monitoring, and automation to ensure reliable and available data infrastructure

Contribute to discussions, code reviews, and retrospectives to encourage innovation and improvement

5+ years of experience with Python, Golang, or PHP for backend development

5+ years of experience building and designing backend platforms and services

3+ years of experience with data engineering tools such as Airflow, dbt, Spark, or Kafka

Knowledge of relational databases like MySQL, including data modeling, schema design, and performance tuning

Background in deploying ML/AI-based solutions for extensive data operations

Expertise in handling distributed systems and utilizing message queues or stream frameworks

Competency in developing APIs or services for advanced analytics and reporting

Proficiency in tools like Redis or Memcached and in technologies such as Docker for containerization

Familiarity with Linux environments and best practices in DevOps

Understanding of observability platforms like New Relic or Datadog