Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data integration and engineering, with expertise in tools and technologies such as PySpark, Python, Airflow, ETL processes, and SSIS. As a Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines that facilitate the flow of data across various systems. You will work closely with data analysts and data scientists to ensure that data is accessible, reliable, and ready for analysis. Key responsibilities include: 1. Developing and implementing data integration solutions using PySpark and Python. 2. Designing and maintaining ETL processes to ensure data quality and integrity. 3. Collaborating with cross-functional teams to understand data requirements and deliver solutions that meet business needs. 4. Monitoring and optimizing data pipelines for performance and reliability. 5. Documenting data processes and workflows to ensure transparency and knowledge sharing within the team. Required skills for this role include proficiency in integration consulting, experience with PySpark and Python, and familiarity with data orchestration tools like Airflow. Knowledge of ETL processes and SSIS is also essential. If you are passionate about data engineering and eager to contribute to innovative data solutions, we encourage you to apply.