Data Engineer

3 weeks ago

India Yellow.ai Full time

Responsibilities:

Data Pipeline Development:

  • Assist in designing and building scalable ETL/ELT pipelines using tools.
  • Participate in the development and maintenance of data processing workflows, ensuring data accuracy and reliability.
  • Collaborate with the team to implement real-time and batch data solutions that meet business requirements.

Open-Source Tool Integration:

  • Contribute to the integration and optimization of open-source data engineering tools.
  • Work on integrating and managing databases to support various applications.
  • Stay engaged with new developments in open-source technologies and bring innovative ideas to the team.

Collaboration and Learning:

  • Work closely with senior engineers and data scientists to understand data requirements and translate them into technical solutions.
  • Engage in code reviews, pair programming, and team discussions to continuously improve your skills and contribute to the team's success.
  • Actively participate in team meetings and share your insights to help solve technical challenges.

System Monitoring and Improvement:

  • Monitor the performance of data systems and pipelines, identifying and addressing any issues proactively.
  • Contribute to the ongoing optimization of data systems for better performance, scalability, and cost-efficiency.
  • Help implement best practices in data governance, security, and documentation.

Requirements:

  • Education: Bachelor's degree in Computer Science.
  • 3-5 years of experience in software development and data engineering.
  • Hands-on experience with open-source data pipeline tools.
  • Strong programming skills in languages like NodeJs, Golang, and Java.
  • Proficiency in SQL and experience with both relational and NoSQL databases.
  • Solid understanding of data warehousing concepts, ETL processes, and data modeling.
  • Experience with CI/CD pipelines, containerization, and orchestration tools.
  • Strong problem-solving skills and a willingness to learn and adapt in a dynamic environment.
  • Excellent communication skills, with the ability to work collaboratively in a fast-paced, team-oriented environment.

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