Job Description

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.

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