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ODI DEVELOPER

Job in 110006, Delhi, Delhi, India
Listing for: Vienna Consultancy
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Database Administrator, Data Warehousing
Job Description & How to Apply Below
We are seeking a skilled and experienced Data Integration Specialist with over 5 years of experience in designing and developing data solutions using Oracle Data Integrator (ODI). The ideal candidate will have strong expertise in data modeling, ETL/ELT processes, and SQL, along with exposure to Python scripting for API-based data ingestion.

Experience- 6+ years

Location
- Remote

Contract- 6 months (Extendable)

Shift timings
- Night shift- 9 pm IST to 6 am IST

Key Responsibilities:

Design, develop, and maintain functions and stored procedures using Oracle Data Integrator (ODI).

Create and document data warehouse schemas, including fact and dimension tables, based on business requirements.

Develop and execute SQL scripts for table creation and collaborate with Database Administrators (DBAs) for deployment.

Analyze various data sources to identify relationships and align them with Business Requirements Documentation (BRD).

Design and implement Extract, Load, Transform (ELT) processes to load data from source systems into staging and target environments.

Validate and profile data using Structured Query Language (SQL) and other analytical tools to ensure data accuracy and completeness.

Apply best practices in data governance, including query optimization, metadata management, and data quality monitoring.

Demonstrate strong data modeling skills to support scalable and efficient data architecture.

Utilize Python to automate data collection from APIs, enhancing integration workflows and enabling real-time data ingestion.

Investigate and resolve data quality issues through detailed analysis and root cause identification.

Communicate effectively with stakeholders through strong written, verbal, and analytical skills.

Exhibit excellent problem-solving and research capabilities in a fast-paced, data-driven environment.
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