Sr Integration Consultant

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Integration Consultant based in India.
This role is ideal for an experienced integration professional responsible for designing and delivering scalable data integration solutions across complex enterprise environments. You will work extensively with the o9 INT3.0 Integration Framework, PySpark, Delta Lake, SQL, and Azure Data Lake Storage (ADLS). The position involves building reliable inbound and outbound integrations, optimizing large-scale data pipelines, and supporting critical data transformation workflows. You will collaborate closely with business, functional, and technical stakeholders to translate requirements into robust integration solutions. The role also provides opportunities to work across data engineering, lakehouse architecture, and supply chain planning processes. Success in this position requires strong technical ownership, analytical thinking, and the ability to troubleshoot complex data and integration challenges. The role offers a dynamic environment where your expertise directly contributes to reliable, scalable, and high-quality data operations.
Accountabilities
Design, develop, configure, and support integrations using the o9 INT3.0 Integration Framework.
Build scalable and efficient data pipelines using PySpark and Delta Lake.
Develop and maintain inbound and outbound integrations between enterprise source systems and o9.
Design, implement, and optimize Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes for large datasets.
Work with Azure Data Lake Storage (ADLS) and Delta Lake architectures to support reliable data storage, processing, and integration.
Develop complex SQL queries, stored procedures, data validation routines, and data transformation logic.
Perform data extraction, transformation, cleansing, validation, and loading across multiple source systems.
Configure, monitor, and maintain integration pipelines, batch jobs, and data workflows.
Partner with business, functional, and technical stakeholders to understand requirements and deliver effective integration solutions.
Investigate and resolve integration failures, performance issues, data quality problems, and production incidents.
Support testing, deployments, production releases, and post-go-live activities.
Apply data governance, security, quality, and engineering best practices across integration solutions.
Requirements
8–12 years of total Information Technology (IT) experience, with at least 3 years of hands-on experience using o9 Solutions INT3.0.
Strong practical expertise in the o9 INT3.0 Integration Framework.
Proven experience developing data engineering solutions with PySpark.
Strong knowledge of Delta Lake, including Delta tables, optimization, partitioning, and data versioning.
Advanced SQL skills, including complex queries, stored procedures, data validation, and data modeling.
Solid experience designing and implementing ETL/ELT processes and large-scale data integration solutions.
Hands-on experience with Azure Data Lake Storage (ADLS).
Understanding of data warehousing and lakehouse architectures.
Familiarity with supply chain planning processes, including Demand Planning, Supply Planning, and Sales and Operations Planning (S&OP).
Strong debugging, troubleshooting, analytical, and problem-solving capabilities.
Excellent communication and stakeholder management skills, with the ability to collaborate across business and technical teams.
Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Supply Chain, Operations, or a related discipline.
Immediate joiners or professionals currently serving their notice period are preferred.
Willingness and flexibility to travel to Bangalore when required.
Benefits
Full-time opportunity within a technology-focused environment.
Flexible remote working arrangement with travel to Bangalore when required.
Opportunity to work on large-scale data integration and transformation initiatives.
Exposure to o9 INT3.0, PySpark, Delta Lake, SQL, ADLS, and modern lakehouse architectures.
Collaboration with business, functional, and technical stakeholders across complex enterprise projects.
Opportunity to contribute to supply chain planning and data-driven transformation initiatives.
Exposure to end-to-end integration activities, from development and testing through production deployment and post-go-live support.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
No