Data Engineer - Flexcube

A world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems.
Data
Mid-Level Software Engineer
In-Person
6+ years of experience
Enterprise SaaS · Finance

Description For Data Engineer - Flexcube

Oracle is seeking a skilled Data Engineer with expertise in FLEXCUBE backend table structures and a strong background in data engineering, Python, SQL, and the Hadoop ecosystem. This role focuses on supporting core banking projects through data engineering solutions. The position requires 6+ years of experience and combines technical expertise in big data technologies with domain knowledge in banking.

The role involves designing and implementing data pipelines, managing HDFS storage solutions, developing ETL processes, and ensuring data quality across systems. The ideal candidate will have strong programming skills in Python, expertise in SQL, and experience with Hadoop ecosystem components. Knowledge of FLEXCUBE data models and banking domain expertise are significant advantages.

Oracle offers a comprehensive benefits package and a collaborative work environment. The company values diversity and innovation, operating with integrity for over 40 years. This position provides an opportunity to work on critical data infrastructure for core banking systems while being part of a global technology leader.

The role is based across major Indian tech hubs (Bengaluru, Mumbai, Chennai, or Pune) and offers the chance to work with cross-functional teams on complex data challenges. This is an excellent opportunity for experienced data engineers looking to apply their skills in the banking domain while working for a leading enterprise software company.

Last updated 6 days ago

Responsibilities For Data Engineer - Flexcube

  • Design, implement, and maintain data pipelines in the Hadoop ecosystem
  • Manage and optimize data storage solutions using HDFS
  • Develop scalable ETL processes
  • Ensure data accuracy, quality, and consistency across systems
  • Write efficient and reusable code using Python for data transformation and analysis
  • Create and optimize SQL queries for data extraction and reporting
  • Work on data migration, integration, and reporting for core banking applications
  • Collaborate with cross-functional teams
  • Provide technical support for data-related issues

Requirements For Data Engineer - Flexcube

Python
  • Bachelor's degree in Computer Science, Information Technology, or related field
  • Minimum of 6 years in data engineering
  • Proficiency in HDFS for data storage and retrieval
  • Strong programming skills in Python
  • Expertise in SQL for database querying and reporting
  • Familiarity with big data tools such as Apache Hive, Sqoop, or Spark
  • Experience in core banking systems
  • Strong problem-solving abilities
  • Excellent communication and collaboration skills

Benefits For Data Engineer - Flexcube

Medical Insurance
401k
  • Medical Insurance
  • Life Insurance
  • 401k
  • Volunteer programs

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