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
Robust 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