Senior Data Engineering cum Architecture.
Experience - 7+ years
Working Hours : 1 pm - 10 pm
Description
- 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
Mandatory Skills : Dataiku, Python & SQL
