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Job Description & How to Apply Below
About Cloud Labs:
Cloud Labs 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, Cloud Labs 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, Cloud Labs 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, Cloud Labs is now at an inflection point and ready for its next curve of progress.
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Cloud Labs Inc
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What we offer:
We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate.
Flexible remote work.
Competitive pay package.
Attractive policy, medical insurance benefits, industry leading training.
Opportunity to work remotely is available.
Experience
Required:
8+ years of Experience
Job Location :
India
Job Type: Hybrid/Remote
Job Summary:
Senior Data Engineer with 8+ years of experience in modern data platforms, including Databricks, PySpark, Delta Lake, Azure Data Factory, and Informatica (Power Center 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.
Key Deliverables:
Design, develop, document, and maintain data ingestion pipelines.
Monitor daily scheduled jobs and troubleshooting.
Ensure data governance, quality, and coding standards are met.
Collaborate with business and technical stakeholders to translate requirements to scalable solutions.
Find opportunities to optimize existing pipelines and data lake leveraging AI.
Real world expertise implementing data catalog (unity) and creating data products
Hands on experience with implementing integrations in IDMC and transitions from Power Center to IDMC using Informatica.
Responsibilities:
Lead data analysis and design efforts
Align stakeholders
Embed governance into delivery
Required Experience:
8+ years data/analytics engineering experience
Preferred Databricks & Informatica certifications
Experience in Pharma or Regulated industry preferred
Experience utilizing AI for data lifecycle optimization
Required Tools / Platforms
Experience:
Databricks, Informatica Power center & IDMC
SQL, Python
Azure Data Factory
Position Requirements
10+ Years
work experience
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