Senior Data Engineer for Data Pipelines

Take on a senior role in data engineering with a focus on data pipelines in a hybrid workplace. Help build and optimize data workflows that support advanced analytics and machine learning solutions.

You will work within the data team, collaborating with the Data Engineer Manager and others to develop high-quality data architectures. Your contributions will drive success across multiple business segments by ensuring that data assets are well-structured and easily accessible for analysis.

Key Responsibilities: • Create and maintain data pipelines using Medallion Architecture • Optimize workflows with Databricks and Delta Lake • Design and implement RESTful APIs for data sharing • Execute high-quality transformations using SQL and PySpark • Support features and ML operationalization through collaborative efforts

Requirements: • 4+ years of hands-on experience in data engineering • Strong grasp of data ingestion methods and design patterns • Expertise with Databricks and API development • Proficient in SQL with hands-on Azure services experience • Background in data quality frameworks and monitoring

Drive data initiative success and enhance efficiency through your hands-on expertise and innovative solutions. #J-18808-Ljbffr