Oracle

Senior Consultant

Job Description

Job Description: Data Engineer with expertise in FLEXCUBE backend table structures.

Experience Required: 6 years
 

Domain Expertise: Core Banking Projects (experience in FLEXCUBE Core Banking projects is an added advantage)

Role Overview:

We are seeking a skilled Data Engineer with a strong background in data engineering, Python, SQL, and experience in the Hadoop ecosystem (HDFS). The ideal candidate will have a proven track record of working on core banking projects and leveraging big data technologies to support data processing and analytics.

 

Key Responsibilities:

  1. Data Management:
    • Design, implement, and maintain data pipelines in the Hadoop ecosystem.
    • Manage and optimize data storage solutions using HDFS.
  2. Data Processing:
    • Develop scalable ETL processes to extract, transform, and load data from diverse sources.
    • Ensure data accuracy, quality, and consistency across systems.
  3. Programming and Scripting:
    • Write efficient and reusable code using Python for data transformation and analysis.
    • Create and optimize SQL queries for data extraction and reporting.
  4. Banking Domain Expertise:
    • Work on data migration, integration, and reporting for core banking applications.
    • Understand and address domain-specific data challenges.
  5. Collaboration and Support:
    • Collaborate with cross-functional teams, including business analysts and application developers, to understand data requirements.
    • Provide technical support for data-related issues in ongoing projects.
 

Required Skills and Qualifications:

  • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Experience: Minimum of 6 years in data engineering, with exposure to core banking projects.
  • Technical Skills:
    • Proficiency in HDFS for data storage and retrieval.
    • Strong programming skills in Python for data manipulation and analysis.
    • Expertise in SQL for database querying and reporting.
    • Familiarity with big data tools such as Apache Hive, Sqoop, or Spark.
  • Banking Domain Knowledge:
    • Hands-on experience in core banking systems; experience in FLEXCUBE projects is a plus.
  • Soft Skills:
    • Strong problem-solving abilities.
    • Excellent communication and collaboration skills.
    • Ability to work in a fast-paced and dynamic environment.
 

Preferred Qualifications:

  • Experience in Hadoop ecosystem components like Apache Pig, Spark, or Flume.
  • Knowledge of FLEXCUBE data models and integration.
  • Exposure to modern data engineering tools and practices in the cloud environment.
 

Location: Bengaluru, Chennai, Pune, Mumbai
Type: Full-time

 

Career Level - IC2


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