Data Engineer (ETL ODI) - AMS

iLink Digital; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A dynamic tech company located in Bangalore is looking for a skilled Data Integration Specialist with over 5 years of experience. The candidate should have expertise in designing data solutions using Oracle Data Integrator (ODI), SQL, and strong data modeling skills. Key responsibilities include developing functions and stored procedures, creating data warehouse schemas, and enforcing data governance practices. This position demands effective communication and analytical skills within a fast-paced environment.

Qualifications

• 5+ years of experience in data solution design and development.
• Strong expertise in ETL/ELT processes and data modeling.
• Exposure to Python scripting for API-based data ingestion.

Responsibilities

• Design and develop functions and stored procedures using ODI.
• Create data warehouse schemas based on business requirements.
• Develop SQL scripts for table creation and deployment.

Skills

Data modeling

ETL/ELT processes

SQL

Python scripting

Data governance

Problem-solving

Tools

Oracle Data Integrator (ODI)

Job description

Bangalore North, India | Posted on 02/11/2026

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.

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.