Job Description We are seeking a seasoned data engineer to join our team. As a senior data engineer, you will be responsible for designing and implementing large-scale data management solutions using predictive modeling, statistics, and trend analysis techniques. You will work closely with business analysts to identify patterns and relationships in data, build predictive models, and test them on real-world results. Your expertise will also be required to support the development of new applications and interfaces, as well as collaborate with other engineers and architects to maintain the architecture. Additionally, you will mentor and lead junior engineers through the development lifecycle, improve the DevOps pipeline deployment model, and write high-quality code compliant with regulations. Required Skills and Qualifications - Data engineering experience with Databricks (Python, Pyspark, Spark SQL) - 5+ years - CI/CD experience with Azure DevOps pipeline - 2+ years - Azure Data Factory experience for job orchestration - 3+ years - Requirement and business use case gathering - 3-5 years - Meta data and data governance - 5+ years - High-level design and data modeling - 3+ years Benefits: This role offers a unique opportunity to work with cutting-edge technology and contribute to the growth and success of our organization. You will have the chance to develop your skills, learn from experienced professionals, and collaborate with a talented team of engineers and architects. Others Please note that this is a key role within our organization, and we are looking for someone who is passionate about data engineering and has a strong track record of delivering high-quality results. If you are a motivated and experienced data engineer looking for a challenging and rewarding role, please submit your application.