Kafka Developer at Cloudesign Technology Solutions · Noida, Hyderabad, Bengaluru (Bangalore) · 5 - 8 years · ₹25L - ₹30L / yr · Profitable · Posted 13 May 2025
Job Title: Tech Lead and SSE – Kafka, Python, and Azure Databricks (Healthcare Data Project)
Experience: 4 to 12 years
Role Overview:
We are looking for a highly skilled Tech Lead with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing. This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams.
Key Responsibilities:
- Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks.
- Architect scalable data streaming and processing solutions to support healthcare data workflows.
- Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data.
- Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.).
- Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
- Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows.
- Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering.
- Stay updated with the latest cloud technologies, big data frameworks, and industry trends.
Required Skills & Qualifications:
- 4+ years of experience in data engineering, with strong proficiency in Kafka and Python.
- Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing.
- Experience with Azure Databricks (or willingness to learn and adopt it quickly).
- Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus).
- Proficiency in SQL, NoSQL databases, and data modeling for big data processing.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications.
- Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus.
- Strong analytical skills, problem-solving mindset, and ability to lead complex data projects.
- Excellent communication and stakeholder management skills.
Shubham Vishwakarma
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Full Stack Developer - Averlon