Senior Data Engineering cum Architecture.

Senior Data Engineering cum Architecture.

Dataiku, Python & SQL are mandatory skills.

Experience - 7+ years

• Proven experience architecting and implementing enterprise-scale data engineering solutions, including data pipelines, ETL/ELT frameworks, and data lake/warehouse architectures
• Hands-on expertise with Dataiku for building, deploying, and operationalizing end-to-end data pipelines and ML workflows
• Strong programming proficiency in Python for data transformation, automation, and pipeline orchestration
• Advanced SQL skills for complex query optimization, data modeling, and working across relational/cloud data platforms
• Solid working experience with AWS and Azure cloud ecosystems (e.g., S3/ADLS, Glue/Data Factory, Redshift/Synapse, IAM/security configurations) for building and managing scalable data infrastructure
• Demonstrated ability to work at an Architect level defining data architecture standards, evaluating tooling, and guiding technical decisions across cross-functional teams