Senior Data Engineer (Flexcube) - Join Oracle's Dynamic Team

Location: [Insert Location]

Company: Oracle

Career Level: IC3

Job Description

Oracle, a world leader in cloud solutions, is seeking a skilled Senior Data Engineer with extensive experience in the Hadoop ecosystem and a strong background in integrating and managing data from FLEXCUBE core banking systems. This role is pivotal in designing, implementing, and optimizing our data pipelines to ensure seamless data flow and analysis.

Key Responsibilities

Data Integration: Lead the integration of data from FLEXCUBE core banking systems into our Hadoop-based data infrastructure. Develop and maintain efficient data ingestion processes.

Hadoop Ecosystem: Design, build, and optimize data pipelines within the Hadoop ecosystem, including HDFS, Sqoop, Unix shell scripting, Python coding, and Spark.

Data Modelling: Create and maintain data models, schemas, and structures to support data analysis and reporting requirements.

ETL Processes: Develop Extract, Transform, Load (ETL) processes to cleanse, enrich, and transform data for downstream consumption.

Data Quality: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.

Performance Optimization: Optimize data processing and query performance within the Hadoop ecosystem.

Data Security: Ensure data security and compliance with data privacy regulations during data handling and processing.

Documentation: Maintain thorough documentation of data pipelines, transformations, and data flow processes.

Collaboration: Collaborate with cross-functional teams, including FLEXCUBE consulting, data scientists, analysts, and business stakeholders, to understand data requirements and deliver actionable insights. Mastery of the FLEXCUBE 14.7 backend tables and data model is essential.

Qualifications

Bachelor's degree in Computer Science, Information Technology, or a related field.

5 to 8 years of proven experience in designing and implementing data solutions within the Hadoop ecosystem.

Strong expertise in Hadoop components such as 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.

Certifications in Hadoop or related technologies are beneficial.

Additional Information

This role offers an exciting opportunity to work on cutting-edge data projects and contribute to data-driven decision-making in the financial sector. The candidate should be prepared to work in a dynamic and collaborative environment. We are committed to fostering professional growth and providing opportunities for skill development.

Oracle uses tomorrow's technology to tackle today’s problems. True innovation starts with diverse perspectives, and we are committed to expanding our inclusive workforce to promote diverse insights and perspectives. Our careers open the door to global opportunities where work-life balance flourishes, backed by a competitive suite of employee benefits.

We encourage employees to give back to their communities through our volunteer programs, and are committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, please let us know by calling +1 888 404 2494, option one.

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 veteran status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.