Experience with Azure Databricks, Azure Data Factory, and Delta Lake
Knowledge of ETL/ELT processing, data modeling, and performance tuning
Requirements:
Designing, developing, and optimizing scalable data pipelines
Building cloud-based data solutions
Collaborating with cross-functional teams and stakeholders
Ensuring data governance and ownership of solution delivery
Job description
seeking a Data Engineer with strong hands-on experience in Azure Cloud, Azure Databricks, PySpark, Azure Data Factory (ADF), Delta Lake, and Unity Catalog. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and cloud-based data solutions, with expertise in ETL/ELT processing, data modeling, performance tuning, and data governance. The role requires proficiency in Python, SQL, GitHub, and CI/CD practices, along with experience working with large-scale datasets in enterprise environments. This is an individual contributor role that demands strong analytical and problem-solving skills, the ability to work independently, and ownership of end-to-end solution delivery while collaborating effectively with cross-functional teams and business stakeholders.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
