Senior Data Integration Specialist

4 days ago


Bengaluru, Karnataka, India Oracle Full time

We are seeking a highly skilled Senior Data Integration Specialist to join our team at Oracle.

About the Role

This is an exciting opportunity to work on cutting-edge data projects and contribute to data-driven decision-making in the financial sector.

The ideal candidate will have extensive experience in designing and implementing data solutions within the Hadoop ecosystem, with a strong background in integrating and managing data from FLEXCUBE core banking systems.

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 the accuracy, completeness, and consistency of data.
  • 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.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 3 to 6 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.

Salary: $120,000 - $180,000 per year, depending on experience.



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