Data Analyst

As a Data Engineer at our company, you will be responsible for building and maintaining scalable data pipelines and ETL processes using Python and related technologies. Your primary focus will be on developing efficient data pipelines to handle large volumes of data and optimize processing times. Additionally, you will collaborate closely with our team of data scientists and engineers at Matrix Space. To qualify for this role, you should have 2-5 years of experience in data engineering or a related field, with a strong proficiency in Python programming. You must be well-versed in libraries such as Pandas, NumPy, and SQL Alchemy, and have hands-on experience with data engineering tools like Apache Airflow, Luigi, or similar frameworks. A working knowledge of SQL and experience with relational databases such as PostgreSQL or MySQL is also required. In addition to technical skills, we are looking for candidates with strong problem-solving abilities who can work both independently and as part of a team. Effective communication skills are essential, as you will be required to explain technical concepts to non-technical stakeholders. The ability to complete tasks efficiently and effectively is a key trait we value in potential candidates. If you are an immediate joiner and can start within a week, we encourage you to apply for this opportunity. Join our team and be a part of our exciting projects in data engineering.,