Data and Analytics Engineer

About CloudLabs:

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, & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress.

Please write & follow us here:

Website: cloudlabsit.com

LinkedIn: CloudLabs Inc

Email us: [Confidential Information]

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: Minimum 5+ years of Experience

Job Location: India

Job Type: Remote

Role Overview

We are looking for Data & Analytics Engineers with 510 years of experience to support the design, development, and deployment of modern data engineering solutions. The role requires strong technical capabilities in Snowflake, dbt, and AWS, with familiarity in Agile environments.

Key Responsibilities

• Develop and maintain ETL/ELT pipelines.
• Build scalable data transformation models using dbt.
• Implement data marts and data warehousing solutions on Snowflake.
• Work with AWS services for data processing and integration.
• Ensure data quality, validation, and documentation.
• Collaborate with crossfunctional teams and support sprint delivery.

Required Skills & Experience

• 510 years of experience in Data Engineering/Analytics Engineering.
• Practical experience with Snowflake and dbt.
• Proficiency in AWS data services.
• Strong SQL and data modeling knowledge.
• Experience with Agile/Scrum methodology.

Good to Have

• Experience with orchestration tools such as Airflow or Step Functions.
• Knowledge of Git and CI/CD practices.