Senior Data Engineer - Python, Databricks

 

Data Bricks and Python Engineer

About Oracle FSGIU - Finergy:

Finergy division within Oracle FSGIU exclusively focuses on the Banking, Financial Services, and Insurance (BFSI) sector, offering deep domain knowledge to address complex financial needs. Finergy has Industry expertise in BFSI. (On Accelerated Implementation) Finergy has Proven methodologies that fast-track the deployment of multi-channel delivery platforms, minimizing IT intervention and reducing time to market. Due to Personalization tools that tailor customer experiences, Finergy has several loyal customers for over a decade. (On End-to-End Banking Solutions) Finergy Provides a single platform for a wide range of banking services—trade, treasury, cash management—enhancing operational efficiency with integrated dashboards and analytics. Finergy offers Expert Consulting Services, Comprehensive consulting support, from strategy development to solution implementation, ensuring the alignment of technology with business goals.

Job Responsibilities

Mandatory Skills:

• 4 to 8 Years of experience in Databricks and big data frameworks
• Advanced proficiency in AWS, including EC2, S3 and container orchestration (Docker, Kubernetes)
• 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

 

 

 

 

Career Level - IC2

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Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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Senior Data Engineer data engineering with strong skills in Python, PySpark, SQL, and extensive, hands-on experience with Databricks and big data frameworks. Expertise in integrating data science workflows and deploying ML models for real-time and batch processing within a cybersecurity context.