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Chabre IT Services is seeking an Analytics / Data Engineer to design fact layer data models, implement data lineage, and build scalable ETL/ELT pipelines to support product margin reporting.
You will collaborate with data architects and stakeholders, ensure data quality and performance across analytics environments, and leverage AWS tools and data cataloging practices to drive governance and insights.
Working as an Analytics / Data Engineer you will:
Design and implement the fact layer data models in strict alignment with established enterprise standards.
Develop and maintain accurate data lineage logic within the corporate data catalog to ensure complete traceability.
Integrate and process complex datasets to facilitate precise product-level margin reporting.
Build, optimize, and maintain scalable ETL/ELT data pipelines to power business intelligence and analytics workflows.
Collaborate closely with data architects and business stakeholders to translate reporting requirements into robust technical solutions.
Monitor and ensure data quality, integrity, and high performance across all analytical environments.
Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions, smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality.
Our client is a leading global digital agency that connects enterprise brands with consumers through modern technology and creative solutions. They specialize in driving large-scale digital transformations and delivering high-impact IT projects on a global scale. You will be joining a highly collaborative, fast-paced environment that prioritizes technical excellence and continuous growth.
Must hold at least one of the following active certifications: AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner.
Proven commercial experience working as a Data Engineer, Analytics Engineer, or in a highly similar data-focused role.
Advanced proficiency in SQL and a strong understanding of dimensional data modeling techniques.
Practical, hands-on experience utilizing the AWS cloud ecosystem for data processing and storage.
Familiarity with modern data cataloging tools and best practices surrounding data governance.
Strong analytical mindset with a demonstrated ability to independently troubleshoot and resolve complex data integration challenges.