Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and be proficient in utilizing tools and technologies such as PySpark, Google Cloud Platform (GCP), BigQuery, and Python. As a Data Engineer, you will play a crucial role in designing, building, and maintaining scalable data pipelines that support our data-driven decision-making processes. Key Responsibilities: - Design and implement robust data pipelines to ingest, process, and store large volumes of data from various sources. - Collaborate with data scientists and analysts to understand data requirements and ensure data availability for analysis. - Optimize data workflows and improve data quality through effective data management practices. - Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability. - Stay updated with the latest industry trends and technologies in data engineering and cloud computing. Required Skills: - Proficiency in PySpark for data processing and transformation. - Experience with Google Cloud Platform (GCP) services, particularly BigQuery. - Strong programming skills in Python. - Familiarity with data modeling and ETL processes. - Excellent problem-solving skills and attention to detail. If you are passionate about data engineering and eager to work in a collaborative environment, we encourage you to apply. Join us in leveraging data to drive impactful business decisions.