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CloudLabs Inc. seeks a Senior Data Engineer with 8+ years of experience in modern data platforms, including Databricks, PySpark, Delta Lake, Azure Data Factory, and Informatica.
Pharma or regulated environments are strongly preferred; expertise in data lake architecture, MDM, and data governance is required. You will design and maintain data ingestion pipelines, monitor jobs, ensure data quality, and collaborate with stakeholders to translate requirements into scalable, AI-powered data
CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments.
Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe.
As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business.
With offices in the US, Canada, Australia & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress.
8+ years of Experience
Job Location: India
Job Type: Hybrid/Remote
Senior Data Engineer with 8+ years of experience in modern data platforms, including Databricks, PySpark, Delta Lake, Azure Data Factory, and Informatica (PowerCenter and IDMC). Experience in pharmaceutical or highly regulated environments is strongly preferred. The ideal candidate will possess expertise in data lake architecture, MDM, data governance, pipeline optimization, and AI-enabled data engineering practices. Strong stakeholder management and solution design skills are required.