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Senior Data Engineer (Flexcube)

World leader in cloud solutions, using tomorrow's technology to tackle today's challenges for over 40+ years.
Data
Senior Software Engineer
In-Person
5,000+ Employees
6+ years of experience
Enterprise SaaS · Finance

Description For Senior Data Engineer (Flexcube)

We are seeking an experienced Senior Data Engineer to join Oracle's team, focusing on Hadoop ecosystem and FLEXCUBE core banking systems integration. This role combines deep technical expertise in data engineering with specialized knowledge of banking systems. The position offers an opportunity to work with cutting-edge data technologies while supporting critical financial operations.

The ideal candidate will lead data integration initiatives, design and optimize data pipelines, and ensure data quality and security. With 6-10+ years of experience required, this role demands expertise in Hadoop components, FLEXCUBE integration, and strong SQL skills. The position is based in either Bengaluru or Chennai, India, offering the chance to work with a global leader in cloud solutions.

Oracle provides a comprehensive benefits package and promotes work-life balance. The company is committed to fostering an inclusive workplace and supports professional growth. This role is perfect for data engineers passionate about financial technology and looking to make an impact in a large-scale enterprise environment.

The position offers the opportunity to work on complex data challenges, collaborate with cross-functional teams, and contribute to data-driven decision-making in the financial sector. Oracle's 40+ year legacy of innovation and integrity provides a stable yet dynamic environment for career growth.

Last updated 2 months ago

Responsibilities For Senior Data Engineer (Flexcube)

  • Lead the integration of data from FLEXCUBE core banking systems into Hadoop-based data infrastructure
  • Design, build, and optimize data pipelines within the Hadoop ecosystem
  • Create and maintain data models, schemas, and structures
  • Develop ETL processes to cleanse, enrich, and transform data
  • Implement data quality checks and monitoring processes
  • Optimize data processing and query performance
  • Ensure data security and compliance
  • Maintain documentation of data pipelines
  • Collaborate with cross-functional teams

Requirements For Senior Data Engineer (Flexcube)

Python
  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 5-8 years of experience in designing and implementing Hadoop solutions
  • Strong expertise in HDFS, Sqoop, Unix shell scripting, Python coding and Spark
  • Experience with FLEXCUBE integration and data extraction
  • Proficiency in SQL and database systems
  • Knowledge of data modelling and ETL processes
  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork abilities
  • Banking or financial industry experience is a plus
  • Mastery of FLEXCUBE 14.7 backend tables and data model

Benefits For Senior Data Engineer (Flexcube)

Medical Insurance
Vision Insurance
Dental Insurance
  • Medical Insurance
  • Life Insurance
  • 401k

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