Job Description & How to Apply Below
About Us
Zycus is a global leader in Source-to-Pay (S2P) procurement software, helping large enterprises drive efficiency, compliance, and measurable value across their procurement and finance operations. Trusted by leading Fortune 1000 organizations worldwide, Zycus enables procurement teams to move from cost control to strategic value creation.
At the core of Zycus' platform is Merlin AI , an advanced AI-powered engine that brings intelligence, automation, and predictive insights across the entire procurement lifecycle—from sourcing and contract management to procurement, invoicing, and supplier management. Merlin AI empowers Chief Procurement Officers and finance leaders to make faster, smarter decisions with real-time visibility and actionable insights.
Zycus is consistently recognized by top industry analysts such as Gartner, Forrester, and IDC for its innovation, depth of functionality, and strong customer outcomes. Known for its enterprise-grade solutions, global delivery model, and customer-first mindset, Zycus partners closely with organizations to modernize procurement and unlock long-term business value.
With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.
We Are An Equal Opportunity
Employer:
Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements.
Job Description
Zycus is looking for a ETL Developer who is responsible for managing and maintaining data warehousing processes, ensuring data integration, and supporting data transformation requirements. The role involves developing, testing, and deploying ETL (Extract, Transform, Load) processes for efficient data flow across systems, aligning data structures to organizational requirements, and maintaining data quality and integrity. ETL Developers work closely with data analysts, data engineers, and database administrators to build robust ETL frameworks and deliver timely, accurate data solutions.
Key Responsibilities:
Data Extraction, Transformation, and Loading (ETL):
Design, develop, and implement ETL processes to support data extraction, transformation, and loading across various data sources. Ensure data integrity, accuracy, and consistency during the ETL process.
Data Modeling and Warehousing:
Create and maintain data models to support warehousing and reporting requirements. Develop and optimize database schemas and maintain data dictionaries.
Data Integration and Performance Optimization:
Integrate data from multiple sources, including databases, flat files, APIs, and external platforms. Optimize ETL processes for performance and scalability, minimizing latency and maximizing throughput.
Data Quality Assurance:
Implement data quality checks and validation mechanisms to ensure data accuracy and completeness. Identify, troubleshoot, and resolve data quality issues in ETL pipelines.
Collaboration with Cross-Functional Teams:
Collaborate with data engineers, analysts, and stakeholders to understand data requirements and implement ETL solutions accordingly. Support data reporting and analytics needs through reliable data flow.
Documentation and Maintenance:
Document ETL processes, data mappings, and workflows. Maintain and update ETL scripts, jobs, and processes to meet evolving business needs.
Job Requirement
Education:
Skills And Experience Required :
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Experience:
Proven experience in ETL development, data warehousing, or data engineering roles.
Experience with ETL tools like Informatica, Talend, SSIS, or similar.
Technical
Skills:
Proficiency in SQL for data querying and manipulation.
Familiarity with scripting languages (Python, Shell…
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