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 various technologies to manage and optimize data pipelines. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data architectures that support our analytics and business intelligence initiatives. Key Responsibilities: - Develop and maintain robust data pipelines using Azure, Python, PySpark, and Databricks. - Collaborate with data scientists and analysts to understand data requirements and ensure data availability for analysis. - Optimize data storage and retrieval processes to enhance performance and efficiency. - Implement data quality checks and monitoring to ensure the integrity of data. - Work with cross-functional teams to integrate data from various sources and ensure seamless data flow. - Stay updated with the latest industry trends and technologies to continuously improve data engineering practices. Required Skills: - Proficiency in Azure cloud services and data engineering tools. - Strong programming skills in Python, with experience in PySpark for big data processing. - Familiarity with Databricks for collaborative data engineering and analytics. - Understanding of data modeling, ETL processes, and data warehousing concepts. - Excellent problem-solving skills and the ability to work in a fast-paced environment. If you are passionate about data and have the skills to drive data solutions, we encourage you to apply and be a part of our innovative team.