Principal Data Architecture Specialist

2 weeks ago


nagpur, India beBeeData Full time

Senior Data EngineerWe are driving the evolution of healthcare analytics by building robust, observable, and continuously improving data pipelines in production.This role is part of a fully remote team, open to candidates based in Europe or India, with periodic gatherings in Mountain View, California.Design, develop, and maintain scalable data pipelines using Python (Pandas, PySpark) and SQL, orchestrated with Airflow (MWAA).Develop and maintain the SAIVA Data Lake/Lakehouse on AWS, ensuring quality, governance, scalability, and accessibility.Run and optimize distributed data processing jobs with Spark on AWS EMR and/or EKS.Implement batch and streaming ingestion frameworks (APIs, databases, files, event streams).Enforce validation and quality checks to ensure reliable analytics and machine learning readiness.Monitor and troubleshoot pipelines with CloudWatch, integrating observability tools like Grafana, Prometheus, or Datadog.Automate infrastructure provisioning with Terraform, following AWS best practices.Manage database integrations into the Lakehouse.Participate in an on-call rotation to support pipeline health and resolve incidents quickly.What We Offer:A chance to work on cutting-edge projects in healthcare analytics.Opportunities for professional growth and development.Flexible work arrangements and a remote-friendly environment.Periodic gatherings and networking opportunities.Requirements:Strong expertise in data engineering, including Python, SQL, and data pipelines.Experience with cloud-based technologies, particularly AWS.Knowledge of DevOps principles and automation tools.Ability to work collaboratively as part of a remote team.Excellent communication and problem-solving skills.



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