Senior Data Engineer

We are seeking a skilled and motivated Data Engineer with 3-5 Years of experience in data engineering, with a strong emphasis on Python-based development. The successful candidate will be responsible for designing and maintaining scalable data pipelines, optimizing performance, and collaborating closely with data scientists and engineering teams. You will play a critical role in the efficient processing and transfer of data, while also contributing to knowledge sharing with client teams.

Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain scalable data pipelines and ETL processes using Python and related technologies.


• Performance Optimization: Optimize the performance of data pipelines and queries to handle large volumes of data and improve processing times.


• Collaboration: Work closely with data scientists and engineering team.


• Status report: Attend daily stand ups with the team.

Required Qualifications:

• Experience: 2-5 years of experience in data engineering or a related field with a strong focus on Python.

Technical Skills:

• Expertise in Python programming, including libraries such as Pandas, NumPy, and SQLAlchemy.


• Experience with data engineering tools and frameworks such as Apache Airflow, Luigi, or similar.


• Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL).

Soft Skills:

• Excellent problem-solving skills and the ability to work independently and as part of a team.


• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.


• Proven ability to prioritize tasks