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1 Oracle Senior Data Engineer Job

Senior Data Engineer (Flexcube)

5-8 years

₹ 20 - 30L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

Senior Data Engineer (Flexcube)

Oracle

posted 6d ago

Job Role Insights

Flexible timing

Job Description

We are seeking a skilled Data Engineer with extensive experience in the Hadoop ecosystem and a strong background in integrating and managing data from FLEXCUBE core banking systems

The ideal candidate will play a key role in designing, implementing, and optimizing our data pipelines, ensuring 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 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

  • Mastery of the FLEXCUBE 14

    7 backend tables and data model is essential

Qualifications:
  • Bachelors 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

Candidates with a strong background in the Hadoop ecosystem and experience with FLEXCUBE integration are encouraged to apply

We are committed to fostering professional growth and providing opportunities for skill development


Employment Type: Full Time, Permanent

Read full job description

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What Senior Data Engineer at Oracle are saying

Senior Data Engineer salary at Oracle

reported by 27 employees with 3-11 years exp.
₹12 L/yr - ₹38 L/yr
43% more than the average Senior Data Engineer Salary in India
View more details

What Oracle employees are saying about work life

based on 5.1k employees
80%
89%
78%
73%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Oracle Benefits

Submitted by Company
Career development and internal mobility
Health and well-being
Financial security
Benefits that suit your lifestyle
Submitted by Employees
Work From Home
Cafeteria
Gymnasium
Health Insurance
Free Transport
Team Outings +6 more
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Senior Data Engineer (Flexcube)

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