Data Scientist

As a Data Engineer at our company, your primary responsibility will be the development and maintenance of scalable and efficient data pipelines and ETL processes using Python and related technologies. You will play a crucial role in optimizing the performance of these pipelines and queries to handle large volumes of data and improve processing times. Collaboration is key in this role, as you will closely work with our team of data scientists and engineers at Matrix Space. To excel in this position, you should have 2-5 years of experience in data engineering or a related field with a strong focus on Python. Proficiency in Python programming is a must, including knowledge of libraries such as Pandas, NumPy, and SQL Alchemy. Additionally, hands-on experience with data engineering tools and frameworks like Apache Airflow, Luigi, or similar is highly desirable. A solid grasp of SQL and experience with relational databases such as PostgreSQL and MySQL will be beneficial. In addition to technical skills, we value certain soft skills in our team members. Problem-solving abilities, the capacity to work both independently and collaboratively, and effective communication skills are essential. You should be able to articulate technical concepts to non-technical stakeholders and demonstrate a proven track record of completing tasks efficiently. If you are an immediate joiner and can commence within a week, we encourage you to apply for this position. Join our team and be part of an exciting journey in data engineering where your skills and expertise will be valued and put to good use.,