2+ Oracle Data Integrator Jobs in India

Shift: 9PM IST to 6 AM IST

Experience: 8 + Years

Requirements

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.

Looking Data Enginner for our Own organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.