Full-Stack Data Engineer Jobs

Key Responsibilities: Design, develop, and maintain end-to-end data pipelines and ETL processes. Build and optimize scalable data architectures and databases. Develop interactive data visualization tools and dashboards to support data-driven decision making. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data quality checks, monitoring, and troubleshooting to ensure data integrity. Work with cloud platforms and big data technologies to manage large datasets efficiently. Write clean, maintainable, and well-documented code following best practices.

Qualifications: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.3+ years of experience in data engineering or full-stack development with a focus on data. Proficiency in programming languages such as Python, Java, or Scala. Experience with frontend technologies like React, Angular, or Vue.js for building data applications. Strong knowledge of SQL and NoSQL databases. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop, Kafka).Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication skills and ability to collaborate effectively with diverse teams.