- 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
- Solid 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
📌 Senior Data Engineering + Architecture. (Mumbai)
🏢 Volga Infotech
📍 Mumbai
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