Senior Data Engineer

We’re looking for a Data & Analytics Consultant with a strong background in Machine Learning and Data Lake architecture to join our team in partnership with AWS. In this role, you’ll help our client, modernize their data ecosystem—building a scalable, secure, and insight-driven Cloud environment that enables smarter decision-making and faster innovation. You’ll be part of a collaborative environment, working directly with AWS builders and technical stakeholders to design and deliver data solutions that bridge strategy and execution. Key Responsibilities • Design and implement modern Data Lake solutions using AWS native services (S3, Glue, Lake Formation, Redshift, Athena, SageMaker). • Build end-to-end Machine Learning pipelines, from data preparation and model training to deployment and monitoring. • Partner with business and technical teams to translate analytics needs into scalable data models and ML-driven insights. • Define best practices for data architecture, governance, and lifecycle management. • Optimize data storage, ingestion, and query performance for large-scale datasets. • Support enablement of customer teams through documentation, workshops, and knowledge transfer. Qualifications • AWS Certified Machine Learning – Specialty (Advanced) • AWS Certified Data Analytics – Specialty (Advanced) • Proven experience designing and implementing Data Lakes on AWS. • Hands-on experience with Python, SQL, and data transformation frameworks. • Deep understanding of cloud-native analytics and ML ecosystems. • Strong communication skills and ability to collaborate across technical and business functions. Preferred Experience • Exposure to MLOps, feature engineering, and data pipeline automation. • Familiarity with data visualization and storytelling tools (QuickSight, Tableau, Power BI). • Experience working in consulting, data modernization, or cloud migration projects. • Knowledge of AI frameworks (TensorFlow, PyTorch, or Scikit-learn).