01Responsibilities
Design, develop, and maintain scalable data pipelines and data processing solutions.Write clean, efficient, and production-ready Python code.Apply strong Data Structures & Algorithms (DSA) and problem-solving skills to solve complex technical challenges.Work extensively with GCP services to build and manage cloud-based data solutions.Collaborate with data scientists, software engineers, and other stakeholders.Optimize data pipelines for performance, reliability, and scalability.Troubleshoot technical issues and contribute to continuous improvement of data engineering processes.
02Requirements
2-8 years of experience in Data Engineering or a related role.Strong proficiency in Python.Strong understanding of DSA and problem-solving.Mandatory: Hands-on experience with GCP.Good understanding of data engineering concepts, ETL/ELT pipelines, and data processing.Strong analytical and communication skills.Experience with GCP data services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, or Composer.Experience with SQL and databases.Familiarity with distributed data processing frameworks and cloud-based architectures. .
