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Chabre IT Services seeks a Senior AWS Data Engineer to design robust data ingestion pipelines (SP-API/Data Kiosk) and drive SAP data integration into a central cloud ecosystem. You will develop, optimize, and maintain ETL/ELT workflows using AWS Glue, ensuring data quality with DataOps gates.
The role includes mentoring engineers, translating business needs into data strategies, and contributing to a fast-paced, collaboration-driven environment.
Working as a Senior AWS Data Engineer you will:
Design and build robust data ingestion pipelines leveraging SP-API and Data Kiosk.
Lead the seamless integration and complex mapping of SAP data into the central cloud ecosystem.
Develop, optimize, and maintain highly efficient ETL/ELT workflows using AWS Glue.
Implement and enforce DataOps quality gates to guarantee data integrity, accuracy, and reliability across all environments.
Architect scalable, secure data solutions while providing technical mentorship to other engineering team members.
Partner with cross-functional stakeholders to translate complex business needs into actionable data strategies.
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.
Extensive commercial experience designing and deploying scalable data architectures within the AWS cloud ecosystem.
Advanced programming skills in Python or Scala, combined with strong proficiency in complex SQL.
Proven track record of integrating enterprise-grade systems (such as SAP) and handling advanced API data extraction.
Deep practical knowledge of DataOps methodologies, automated testing, and CI/CD pipelines for data products.