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Senior Cloud Data Engineer

2 weeks ago

Hyderabad, Telangana, India beBeeDataEngineering Full time ₹ 18,00,000 - ₹ 25,00,000
Data Engineering Opportunities

We are seeking a Senior Data Engineer to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.

The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.

Key Responsibilities
  • Data Pipeline Development: Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
  • ETL/ELT Pipeline Architecture: Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
  • Application Optimization: Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
  • Data Integrity and Security: Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
  • Collaboration and Mentorship: Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions. Mentor junior engineers, perform code reviews, and promote engineering best practices.
  • Technological Advancement: Stay current with evolving technologies in cloud, big data, and healthcare data standards.
  • CI/CD Pipeline Development: Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).
Required Skills & Qualifications
  • Data Engineering Experience: 4+ years of hands-on experience in data engineering roles.
  • Kafka Proficiency: Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
  • Python Programming: Proficient in Python for data processing and automation.
  • Azure Databricks Experience: Experience with Azure Databricks (or readiness to ramp up quickly).
  • Cloud Platforms: Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
  • Database Knowledge: Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
  • Containerization: Familiarity with containerization tools like Docker and orchestration using Kubernetes.
  • CICD Pipelines: Exposure to CI/CD pipelines for data applications.
  • Healthcare Data: Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.

Excellent Problem-Solving Abilities: Excellent problem-solving abilities and a proactive mindset. Strong Communication Skills: Strong communication and interpersonal skills to work in cross-functional teams.