Oracle Data Integrator (ODI) Developer/ Lead

United States Digital Space LLC

Karnataka

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+

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Job summary

United States Digital Space LLC seeks an experienced Data Engineer / Data Integrator (ODI) Developer to design, develop, optimize, and support enterprise Data Warehouse solutions using ODI, SQL, and PL/SQL. The role emphasizes building scalable ETL/ELT pipelines and data integration frameworks for a fast-paced enterprise environment.

The ideal candidate will have 4+ years of ODI development, end-to-end DW implementation experience, performance tuning, and strong communication skills to translate

Qualifications

  • Bachelor's Degree in Computer Science, Information Systems, Software Engineering or related discipline (or equivalent experience).
  • 4+ years of ODI development experience.
  • End-to-end Data Warehouse implementation experience.
  • Strong SQL and PL/SQL expertise.
  • ETL/ELT architecture and implementation.
  • ODI Repositories, Designer, Operator, Agents, Load Plans.
  • Knowledge Modules (KM) customization.
  • Performance tuning.
  • Data modelling.
  • Git version control.
  • Strong communication skills.
  • Experience translating business requirements into technical solutions.

Responsibilities

  • Design, develop, test, deploy, and maintain enterprise ETL/ELT solutions using ODI.
  • Develop reusable mappings, load plans, workflows, and automation frameworks.
  • Design and optimize SQL and PL/SQL packages, procedures, functions, triggers, and views.
  • Implement data quality, auditing, exception handling, error recovery, and logging frameworks.
  • Optimize ETL jobs, SQL queries, indexing, and partitioning strategies for high performance.
  • Build and maintain scalable data warehouse schemas and validate data integrity.
  • Collaborate with business users to convert business requirements into technical specifications.
  • Manage code using Git and participate in deployment, testing, and production support activities.

Skills

ODI development
Data warehouse design
ETL/ELT pipelines
SQL
PL/SQL
Performance tuning
Data modelling
Git version control
Communication skills
Requirements translation

Education

Bachelor's Degree in Computer Science or related field

Tools

ODI
Git
SQL/PLSQL

Job description

We are looking for an experienced Data Engineer / the company Data Integrator (ODI) Developer to design, develop, optimize, and support enterprise Data Warehouse solutions using the company Data Integrator (ODI), the company Database, and PL/SQL.

The ideal candidate has strong experience building scalable ETL/ELT pipelines, optimizing database performance, developing reusable integration frameworks, and partnering with business stakeholders to translate requirements into technical solutions.

This role requires excellent analytical skills, hands-on the company database expertise, and the ability to deliver high-quality solutions in a fast-paced enterprise environment.

Key Responsibilities
  • Design, develop, test, deploy, and maintain enterprise ETL/ELT solutions using the company Data Integrator (ODI).
  • Develop reusable mappings, load plans, workflows, and automation frameworks.
  • Design and optimize the company SQL and PL/SQL packages, procedures, functions, triggers, and views.
  • Implement data quality, auditing, exception handling, error recovery, and logging frameworks.
  • Optimize ETL jobs, SQL queries, indexing, and partitioning strategies for high performance.
  • Build and maintain scalable data warehouse schemas and validate data integrity.
  • Collaborate with business users to convert business requirements into technical specifications.
  • Manage code using Git and participate in deployment, testing, and production support activities.
Qualifications & Skills
Mandatory
  • Bachelor's Degree in Computer Science, Information Systems, Software Engineering or related discipline (or equivalent experience)
  • 4+ years of the company Data Integrator (ODI) development experience
  • End-to-end Data Warehouse implementation experience
  • the company SQL and PL/SQL expertise
  • ETL / ELT architecture and implementation
  • ODI Repositories, Designer, Operator, Agents, Load Plans
  • Knowledge Modules (KM) customization
  • Performance tuning
  • Data modelling
  • the company Database development
  • Git version control
  • Strong communication skills
  • Experience translating business requirements into technical solutions
Good-to-Have
  • Python scripting
  • Shell scripting
  • AI / Generative AI awareness
  • AI-assisted Data Engineering tools
  • Financial Services domain experience
  • Experience working in global enterprise environments
Self-Assessment Questions
  • Do I have 4+ years of hands-on the company Data Integrator (ODI) development experience?
  • Have I independently delivered end-to-end Data Warehouse implementations?
  • Am I comfortable developing advanced the company SQL and PL/SQL solutions?
  • Have I optimized ETL workflows for performance and scalability?
  • Can I translate business requirements into technical ETL designs with minimal supervision?
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