Job Title: Data Engineer (SAS)Location: RemoteAbout Our Client: Our client is a leading player in the insurance industry, dedicated to providing innovative solutions to meet the needs of our clients. They leverage cutting-edge technology to drive their business forward and are seeking a skilled Data Engineer to join their dynamic team. If you are passionate about data engineering and have a strong background in SAS, Spark, Databricks, and Python, we want to hear from you!Job Description:As a Data Engineer (SAS), you will play a crucial role in designing, developing, and maintaining our client's data infrastructure. You will work closely with cross-functional teams to ensure data is accessible, reliable, and valuable for business decision-making. This position requires a strong technical background, particularly in SAS, Spark, Databricks, and PySpark/Apache Spark, as well as a proven ability to handle complex data engineering tasks.Key Responsibilities:Design, develop, and optimize data pipelines and ETL processes using SAS, Spark, and Databricks.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.Implement and maintain robust data models and architectures to support analytics and reporting needs.Utilize PySpark/Apache Spark and Python API to process large volumes of data efficiently.Ensure data quality and integrity through rigorous testing, validation, and monitoring of data workflows.Continuously improve data engineering practices, tools, and methodologies to enhance team productivity and data reliability.Troubleshoot and resolve data-related issues, ensuring minimal disruption to business operations.Stay current with industry trends and emerging technologies to drive innovation within the data engineering function.Qualifications:Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or a related field.Intermediate to expert-level proficiency in SAS.Strong experience with Spark, Databricks, and PySpark/Apache Spark.Proficiency in Python and experience with Python API.Solid understanding of data warehousing concepts, ETL processes, and data modelling.Experience with big data technologies and frameworks.Strong problem-solving skills and attention to detail.Excellent communication and collaboration skills.Experience in the insurance industry is a plus.What They Offer:Competitive salary and benefits package.Opportunity to work with a talented and passionate team.Professional development and growth opportunities.A collaborative and inclusive work environment.Flexible working arrangements.How to Apply:If you are a motivated Data Engineer with expertise in SAS, Spark, Databricks, and Python, and are looking to make an impact in the insurance industry, we encourage you to apply. Please submit your resume detailing your relevant experience and why you would be a great fit for this role.