Snowflake Developer

About Us dotSolved, headquartered in Silicon Valley USA, is a leading global provider of business process automation, modern application engineering, and cloud infrastructure services. dotSolved focuses on enabling digital transformations for small, medium, and large enterprises, in the following industries (but not limited to): High technology, Energy, Manufacturing, Financial Services, Media & Entertainment, Communications, Retail, Healthcare, and Education. dotSolved drives digital transformations for enterprises by defining, automating, and optimizing complex business processes for the digital era and engineering modern, data & analytic driven, applications that deliver intended business value. With hundreds of successful implementations and experience in Big Data, ERP, and Supply Chain, dotSolved can guarantee the creation of measurable business value from project engagements leading to accelerated business growth and profitability for customers.

Job Description Position: Snowflake Developer Location: Chennai - Onsite/Hybrid/Remote Engagement Type: Full Time Shift Timing: 1.30PM - 10.30PM IST (UK Shift Time)

About the role: We are seeking an experienced Snowflake Developer to design, develop, and maintain enterprise-scale data platforms on Snowflake. The ideal candidate will have expertise in building Golden Data Layers (single source of truth), implementing data pipelines, and leveraging Snowflake Cortex AI capabilities to deliver intelligent data solutions.

Key Responsibilities Snowflake Development

• Design and develop scalable data solutions using Snowflake.
• Build and maintain data ingestion, transformation, and orchestration pipelines.
• Develop ETL/ELT processes using Snowflake SQL, Streams, Tasks, and Dynamic Tables.
• Optimize Snowflake performance, storage, and cost management.

Golden Data Management

• Design and implement Golden Data Models and Golden Record frameworks.
• Create data quality, validation, and reconciliation processes.
• Develop Master Data Management (MDM) solutions.
• Establish data governance, lineage, and metadata management practices.
• Ensure consistency and accuracy across multiple source systems.

Snowflake Cortex & AI Solutions

• Implement Snowflake Cortex AI capabilities for intelligent data processing.
• Develop AI-powered data enrichment and classification solutions.
• Build natural language query and analytics capabilities using Cortex.
• Integrate Large Language Models (LLMs) and Generative AI use cases within Snowflake.
• Develop Retrieval-Augmented Generation (RAG) solutions leveraging Snowflake data.

Data Engineering & Integration

• Integrate data from ERP, CRM, HRMS, ATS, and other enterprise applications.
• Develop APIs and data-sharing mechanisms.
• Work with structured and unstructured data sources.
• Implement secure data-sharing and data collaboration solutions.

Governance & Security

• Implement role-based access controls (RBAC).
• Ensure compliance with data privacy and security requirements.
• Monitor and troubleshoot platform performance and data quality issues.

Required Skills Technical Skills

• 4+ years of experience in Data Engineering.
• 2+ years of hands-on Snowflake development experience.
• Strong expertise in Snowflake architecture and administration.
• Advanced SQL and data modeling skills.
• Experience with Python and/or Spark.
• Experience with ETL/ELT tools such as Informatica, Talend, Matillion, Airflow, or dbt.
• Knowledge of REST APIs and cloud integrations.

Snowflake Expertise

• Snowflake Cortex
• Snowflake Streams & Tasks
• Dynamic Tables
• Snowpark
• Data Sharing
• Time Travel & Fail-safe
• Performance Tuning

Cloud Experience

• Experience with at least one cloud platform:
• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform

Preferred Qualifications

• Experience implementing Golden Record or MDM solutions.
• Experience with Generative AI and LLM implementations.
• Snowflake certifications preferred.
• Experience in Finance, Healthcare, Retail, or HR domains.
• Knowledge of Data Governance frameworks.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#1026E3;border-color:#1026E3;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">