Platform Engineer – Python / Databricks / Notebooks/ Kubernetes

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 & Experience
Must-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.
-
-