Scalable Data Pipeline Architect

4 days ago


lucknow, India beBeePlatform Full time

Platform Engineer JobThis role offers a unique opportunity to contribute to the growth of a world-class development and support center. The position involves designing, developing, and maintaining scalable data pipelines and platform services using Python, Apache Spark, and Databricks.Key Responsibilities:Design and develop maintainable 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.Required Skills and Qualifications: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.Knowledge of RDBMS (PostgreSQL) and NoSQL databases.Ability to thrive in a fast-paced, distributed engineering environment.Benefits:Opportunity to work with cutting-edge technologies.Collaborative team environment.Education and Experience: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.



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