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:

Data Management: Design, implement, and maintain data pipelines in the Hadoop ecosystem. Manage and optimize data storage solutions using HDFS. Data Processing: Develop scalable ETL processes to extract, transform, and load data from diverse sources. Ensure data accuracy, quality, and consistency across systems. 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. Banking Domain Expertise: Work on data migration, integration, and reporting for core banking applications. Understand and address domain-specific data challenges. 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