Highly Skilled Data Pipeline Developer Wanted
3 days ago
Job Title:Platform EngineerOverviewWe are seeking a skilled Platform Engineer to join our team. This role involves designing and developing scalable data pipelines and platform services using Python, Apache Spark, and Databricks.Main ResponsibilitiesDesign and develop scalable data pipelines and platform services.Develop and manage notebook-based workflows 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.RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.4+ years of 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.SkillsStrong 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.Knowledge of RDBMS (PostgreSQL) and NoSQL databases.Knowledge of BigData services like BigQuery, BigTable, Hive.
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