Sr. Data Engineer (India- Remote)

CloudLabs Inc; India; Remote; INR 3,000,000 - 5,000,000; Full time

Benefits offered by this job

Remote work option

Competitive pay

Medical insurance

Industry-leading training

Job summary

CloudLabs Inc is seeking a highly experienced Senior Data Engineer to lead end-to-end data engineering initiatives. The ideal candidate will design scalable data platforms using Snowflake, develop transformation pipelines with dbt and AWS Glue, and leverage AWS cloud services.

Agile experience is essential. The role requires hands-on leadership in building data architectures, mentoring junior engineers, and driving data quality and governance across projects.

Qualifications

• 10+ years in Data Engineering
• Strong expertise in Snowflake and dbt
• Advanced knowledge of AWS data services, including AWS Glue
• CI/CD, Git repository, CDC, SCD experience
• Strong SQL experience
• Experience in Agile/Scrum environments

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, with strong hands-on experience in AWS Glue.
• Utilize AWS services such as Lambda, Glue, Redshift, and EC2.
• Drive data quality, governance, and performance optimization.
• Collaborate with business stakeholders and mentor junior engineers.

Skills

Data Engineering

Snowflake

dbt

AWS

AWS Glue

CI/CD

Git

CDC

SCD

SQL

Agile/Scrum

Tools

Airflow

Job description

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.

What we offer:

• We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate.
• Competitive pay package.
• Attractive policy, medical insurance benefits, industry leading training.
• Opportunity to work remotely is available.

Experience Required:

Minimum 10+ years of Experience

(Skills: Snowflake, dbt, AWS, AWS Glue, Agile)

Job Location

India

Job Type

Remote

Job Summary:

We are seeking highly experienced Senior Data 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 AWS Glue, and leveraging AWS cloud services. Strong experience working in Agile environments is essential.

Required Skills & Experience:

• 10+ years in Data Engineering
• Strong expertise in Snowflake and dbt.
• Advanced knowledge of AWS data services, including AWS Glue.
• CI/CD, Git repository, CDC, SCD experience.
• Strong SQL experience.
• Experience in Agile/Scrum environments.

Good to Have:

• Python, and data modeling skills.
• Knowledge of orchestration tools such as Airflow.

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, with strong hands‑on experience in AWS Glue.
• Utilize AWS services such as S;
• Lambda, Glue, Redshift, and EC2.
• Drive data quality, governance, and performance optimization.
• Collaborate with business stakeholders and mentor junior engineers.