Senior Data Engineer - Python, Databricks

A world leader in cloud solutions that uses tomorrow's technology to tackle today's problems, operating for 40+ years.
Data
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Enterprise SaaS · Finance

Description For Senior Data Engineer - Python, Databricks

Oracle's Finergy division, part of FSGIU, specializes in Banking, Financial Services, and Insurance (BFSI) sector solutions. As a Senior Data Engineer, you'll work with cutting-edge technologies like Databricks and Python to build scalable data solutions. The role involves developing ETL processes, optimizing data pipelines, and working with big data frameworks. You'll be part of a team that provides comprehensive consulting support and implements end-to-end banking solutions. Oracle offers a collaborative environment focused on continuous learning and innovation, with opportunities to work on complex financial technology challenges. The company provides competitive benefits and promotes work-life balance, while maintaining a commitment to diversity and inclusion. This position requires expertise in Python, PySpark, SQL, and Databricks, with a focus on implementing efficient and maintainable code using best practices.

Last updated 5 days ago

Responsibilities For Senior Data Engineer - Python, Databricks

  • Design, develop, test, and deploy high-performance and scalable data solutions using Python, PySpark, SQL
  • Collaborate with cross-functional teams to understand business requirements
  • Work with Databricks platform for big data processing and analytics
  • Develop and maintain ETL processes using Databricks notebooks
  • Implement and optimize data pipelines for data transformation and integration
  • Write complex SQL queries for data retrieval, manipulation, and analysis

Requirements For Senior Data Engineer - Python, Databricks

Python
  • 4 to 8 Years of experience in Databricks and big data frameworks
  • Advanced proficiency in AWS, including EC2, S3 and container orchestration
  • Proficient in AWS services and data migration
  • Experience in Unity Catalogue
  • Familiarity with Batch and real time processing
  • Data engineering with strong skills in Python, PySpark, SQL

Benefits For Senior Data Engineer - Python, Databricks

Medical Insurance
Vision Insurance
Dental Insurance
401k
  • Flexible medical benefits
  • Life insurance
  • Retirement options
  • Volunteer programs

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