Platform Engineer – Python / Databricks / Notebooks/ KubernetesSyntasa • Prayagraj(Allahabad), IN
Platform Engineer – Python / Databricks / Notebooks / Kubernetes
Syntasa • Prayagraj(Allahabad), IN
30+ days ago
Job descriptionStrong 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. 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 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 .
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 :
Nice to Have :
Requirements
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Platform Engineer • Prayagraj(Allahabad), IN
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