About the Role
We are seeking a highly motivated and technically capable Entry-Level Data Engineer to join our engineering team. If you're passionate about working with data, eager to grow your skills in a collaborative environment, and have experience (internships/projects) in building data pipelines, this is the right opportunity for you.

Key Responsibilities
Build and maintain data pipelines using Apache Airflow and other orchestration tools
Design and implement ETL workflows that process and transform structured and unstructured data
Write clean, maintainable, and scalable code in Python and contribute to data engineering best practices
Work with cloud-based services (AWS preferred) to manage and process data at scale
Collaborate with data scientists, analysts, and backend engineers to support data needs across the organization
Assist in monitoring and optimizing pipeline performance and data quality

Basic Qualifications
Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred)
Proficient in Python with exposure to data structures and algorithms
Experience with Airflow and building or maintaining ETL/data pipelines
Exposure to Scala or interest in learning it
Understanding of SQL and working with relational or NoSQL databases
Excellent problem-solving skills and attention to detail
Strong written and verbal communication skills

Junior Data Engineer

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