Data Engineer (Python)

As a Data Engineer, you will work under the guidance of senior Data Engineers to design, develop, and maintain applications and data pipelines. You will have the opportunity to learn and grow in a collaborative environment while contributing to projects that utilize Java, data engineering principles, and AWS/GCP services.

Key Responsibilities:

• Collaborate with the development team to design and implement Cloud and Data applications using Python.
• Assist in the development of data pipelines for processing and analyzing large datasets.
• Support the integration of AWS/GCP services.
• Write clean, maintainable, and efficient code following best practices.
• Troubleshoot and debug applications and data processes.
• Assist in documenting system architecture and processes.

Qualifications:

• Bachelor’s/master’s degree in engineering.
• Good understanding of Python programming and familiarity with its libraries (e.g., Pandas, NumPy).
• Knowledge of data engineering concepts, including ETL processes and data modelling.
• Knowledge of version control systems (e.g., Git).
• Knowledge of SQL and relational databases.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Excellent communication skills and eagerness to learn.

How it is working at NucleusTeq

Our positive and supportive culture encourages our associates to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives.

Last updated on Oct 22, 2024