Senior Data Engineer (Gurgaon - On-site)

Job Description

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, 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.

Please write & follow us here:

Website: cloudlabsit.com

LinkedIn: CloudLabs Inc

Email us: [email protected]

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: 10 to 15 years of Experience

(Skills: Snowflake, dbt, AWS, Agile)

Job Location: Gurgaon

Job Type: On-site

Job Summary:

We are seeking highly experienced Senior Data & Analytics Engineers with over 10 years of industry experience to lead end‑to‑end data engineering initiatives. The ideal candidates will have deep technical expertise in building scalable data platforms using Snowflake, developing transformation pipelines with dbt, and leveraging AWS cloud services. Strong experience working in Agile environments is essential.

Required Skills & Experience:

• 10+ years in Data Engineering/Data & Analytics.
• Strong expertise in Snowflake and dbt.
• Advanced knowledge of AWS data services.
• Strong SQL, Python, and data modeling skills.
• Experience in Agile/Scrum environments.

Good to Have:

• CI/CD experience.
• Knowledge of orchestration tools such as Airflow, dbt.

Key Responsibilities:

• Lead design and implementation of large‑scale data architectures and pipelines.
• Build and optimize data models and transformation workflows using dbt.
• Architect and manage scalable data warehousing solutions on Snowflake.
• Develop and maintain high‑quality ETL/ELT processes.
• Utilize AWS services such as S3, Lambda, Glue, Redshift, and EC2.
• Drive data quality, governance, and performance optimization.
• Collaborate with business stakeholders and mentor junior engineers.