Platform Engineer – Python / Databricks / Notebooks/ Kubernetes  Job Description    
Syntasa is seeking a high-caliber and dedicated Platform Engineer   to join its India subsidiary, Syntasa Technologies India Private Limited  .
This position offers an exciting opportunity to contribute to the growth of a world-class development and support center.
The India operations will serve as an extension of Syntasa’s US-based software development and support functions.
 
Key Responsibilities  - Design and develop and maintain scalable data pipelines   and platform services using Python  , Apache Spark  , and Databricks  .
 
 
- Develop and manage notebook-based workflows   (Jupyter, Databricks, etc.) for data processing, analysis, and automation.
 
 
- Build and optimize data integration workflows   and reusable components for ingestion, transformation, and orchestration.
 
 
- Deploy and manage workloads on Kubernetes  , ensuring scalability and reliability.
 
 
- Implement and maintain cloud-native solutions   on AWS, GCP, or Azure  .
 
 
- Collaborate with data science, application, and platform teams   to deliver efficient and robust data services.
 
 
- Drive automation, observability, and CI/CD   improvements across the platform  
Skills & ExperienceMust-Have:    
- Strong experience in Python   for data engineering, scripting, and automation.
 
 
- Solid understanding of Apache Spark   and distributed data processing.
 
 
- Experience working with notebooks   (Jupyter, Zeppelin, or Databricks).
 
 
- Hands-on experience with Kubernetes   for container orchestration, workload deployments and scaling.
 
 
Nice to Have:    
- Familiarity with DevOps practices  , CI/CD pipelines  , and cloud environments   (AWS, GCP, Azure).
 
 
- Experience with Kafka  , real-time streaming  , Java/Spring Boot  .
 
 
- Knowledge of RDBMS (PostgreSQL)   and NoSQL   databases.
 
 
- Knowledge of BigData services like BigQuery, BigTable, Hive   
Requirements- Bachelor’s or Master’s degree (or foreign equivalent) in Computer Science, Engineering  , or a related field.
 
 
- 4+ years   of progressive experience as a Software Engineer, Data Engineer, or Platform Engineer  .
 
 
- Strong problem-solving  , collaboration  , and communication   skills.
 
 
- Ability to thrive in a fast-paced, distributed engineering environment  .