Urgent Search Platform Engineer – Python

4 weeks ago


India Syntasa Full time

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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