Lead development of resilient batch and streaming data pipelines and optimize cloud infrastructure for performance and cost efficiency.
Mentor engineers, scale data quality and monitoring frameworks, and ensure end-to-end reliability for mission-critical data flows.
Responsibilities
Design and implement resilient batch and streaming data pipelines
Optimize cloud infrastructure for performance and cost-efficiency
Mentor mid-level engineers across the team
Restructure how pipelines and tools are built and delivered
Ensure mission-critical data flows remain scalable and trusted end-to-end
Requirements
Advanced proficiency in Python, SQL, and modern data warehouses such as Snowflake
Proven track record of building production-grade pipelines using orchestration tools like Airflow or Dagster
Experience with real-time streaming architectures (e.g., Kafka, Kinesis)
Experience scaling automated monitoring and data quality frameworks
Strong software engineering fundamentals, including robust testing and CI/CD practices
Natural technical mentor who collaborates effectively across teams
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