Data Infrastructure Specialist
4 weeks ago
About Us
Bot MD is a pioneering startup in the healthcare sector, driven by a mission to empower doctors worldwide. Our cutting-edge technology, Bot MD, is a proprietary medical A.I. chat engine that can be seamlessly integrated with any hospital and clinical information system, and used to power various chat platforms such as WhatsApp, Facebook Messenger, and Viber, to automate patient engagement and remote monitoring.
Job Overview
We are seeking a skilled Data Engineer to collaborate with our team in designing, building, and maintaining scalable data pipelines and architectures. The successful candidate will work closely with data scientists, software engineers, and business stakeholders to ensure smooth data operations and deliver data-driven insights that drive decision-making across the organization.
Key Responsibilities
- Design and Develop Data Pipelines: Develop and optimize scalable pipelines for real-time and batch data processing.
- Database Management: Create and maintain both SQL and NoSQL databases, ensuring data integrity and availability.
- ETL Development: Build, manage, and monitor ETL processes to ensure reliable data ingestion and transformation.
- Cloud Integration: Utilize our AWS cloud infrastructure for data storage and processing.
- Data Security and Optimization: Ensure data security, governance, and optimize system performance.
- Analytics Enablement: (Occasionally) design and maintain BI dashboards, train business users on data tools, and support self-service analytics initiatives.
Required Skills
- 3+ years of experience in data engineering, data architecture, or related fields.
- Proficiency with SQL and NoSQL databases (e.g., PostgreSQL, ElasticSearch)
- Strong understanding of ETL/ELT processes and tools (e.g., Apache Airflow, Talend, etc.).
- Experience with data pipeline tools like Apache NiFi or AWS Glue.
- Experience with data pipeline monitoring tools such as DBT Metrics, Prometheus+Grafana, AWS CloudWatch.
- Familiarity with cloud services (AWS, Google Cloud, Azure) for data storage and processing.
- Proficiency in programming languages such as Python, Golang, Java, or Scala.
- Team player with great communication skills and a can-do spirit
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