Data Engineer - Snowflake (Gujarat - Onsite)

About CloudLabs:

CloudLabs Inc was founded in 2014 in USA 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: [HIDDEN TEXT]

Experience Required: 4+ years of Experience

Job type: Fulltime

Job Location: Gandevi - Gujarat (Hybrid)

Start Date: Immediate or as soon as available

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.
• Opportunity to work remotely is available.

About the Role

We are seeking a highly motivated and skilled Data Engineer with strong expertise in Snowflake and modern cloud-based data platforms. The ideal candidate will be responsible for designing, developing, and optimizing scalable data solutions, enabling reliable data processing and analytics across the organization.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data models, data warehouses, and reporting layers in Snowflake.
• Develop robust data ingestion frameworks for batch and real-time data processing.
• Implement data quality, data validation, and data governance processes.
• Work closely with business stakeholders, analysts, and architects to understand data requirements.
• Optimize Snowflake performance through clustering, partitioning, and query tuning.
• Support data migration initiatives from legacy platforms to Snowflake.
• Implement CI/CD practices and automation for data engineering workflows.
• Troubleshoot production issues and provide timely resolutions.

Required Skills:

• 4 to 5 years of experience in Data Engineering.
• 3+ years of hands-on experience with Snowflake Data Cloud.
• Strong SQL expertise with experience in complex query optimization.
• Experience in ETL/ELT development and data warehousing concepts.
• Experience with cloud platforms such as AWS, Azure.
• Hands-on experience with Python or PySpark.
• Hands-on dbt experience.
• Experience with data integration tools such as Informatica or similar tools.
• Knowledge of performance tuning and data optimization techniques.

Good to Have

• Snowflake certifications.
• Experience with Databricks.
• Knowledge of CDC, Data Lake, Data Mesh, or Lakehouse architectures.
• Experience working in Agile/Scrum environments.
• Key Competencies
• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to work independently and within distributed teams.
• Strong ownership mindset and proactive attitude.