Data Engineer

We are seeking a skilled DevOps Engineer to design, automate, deploy, and maintain reliable and scalable IT infrastructure. The candidate will work closely with development and operations teams to streamline software delivery and improve system performance.

The role involves managing cloud infrastructure, developing CI/CD pipelines, deploying applications using Docker and Kubernetes, implementing Infrastructure as Code, and monitoring production environments. The ideal candidate should have strong troubleshooting, automation, and problem-solving skills, along with hands-on experience with modern DevOps tools and cloud platforms.

The successful candidate will help improve deployment efficiency, system reliability, security, scalability, and overall engineering productivity.

• 2+ years of experience in data engineering or a related field.
• Strong knowledge of Python and SQL.
• Experience building and maintaining ETL/ELT pipelines.
• Experience with cloud data platforms and data warehouses.
• Knowledge of Apache Spark or similar distributed processing technologies.
• Understanding of data modeling and database concepts.
• Strong analytical and problem-solving skills.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.