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 .