Cloud Native Platform Specialist

2 weeks ago

nadiad, India beBeePythonEngineer Full time

Platform Services EngineerWe are seeking a highly skilled Platform Services Engineer to join our team.This is an exciting opportunity to contribute to the growth of a world-class development and support center. The platform will serve as an extension of our US-based software development and support functions.Key Responsibilities:Design and develop scalable data pipelines and services using Python, Apache Spark, and Databricks.Develop 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 workloads on Kubernetes, ensuring scalability and reliability.Implement cloud-native solutions on AWS, GCP, or Azure.Collaborate with data science, application, and platform teams to deliver efficient and robust data services.Drive improvements across the platform in automation, observability, and CI/CD.Required Skills and Qualifications: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 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 environment.

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