Senior Data Engineer - Python, Databricks

Oracle's Finergy division, part of FSGIU, is seeking a Senior Data Engineer specializing in Python and Databricks. This role is within their Banking, Financial Services, and Insurance (BFSI) sector team, which provides specialized solutions and deep domain expertise to address complex financial needs.

The position involves working with cutting-edge data technologies and frameworks to build scalable solutions. You'll be responsible for designing and implementing data pipelines, ETL processes, and analytics solutions using Python, PySpark, and SQL within the Databricks environment. The role requires expertise in AWS services, including EC2 and S3, along with container orchestration using Docker and Kubernetes.

As a Senior Data Engineer, you'll collaborate with cross-functional teams to translate business requirements into technical specifications, implement efficient code using best practices, and maintain high-performance data solutions. The role involves working with both batch and real-time processing, requiring strong skills in data engineering fundamentals and modern cloud technologies.

Oracle offers a comprehensive benefits package including medical, life insurance, and retirement options. The company promotes work-life balance and encourages community involvement through volunteer programs. With over 40 years of industry leadership, Oracle provides an environment focused on innovation and inclusive growth, where you'll work with industry-leading technologies and contribute to solutions that impact major financial institutions globally.

The ideal candidate will have 4-8 years of experience with Databricks and big data frameworks, strong Python and SQL skills, and a proven track record of building robust data solutions. This role offers the opportunity to work on significant projects within the financial services sector while being part of a global technology leader committed to driving digital transformation in the banking and insurance industries.