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We are seeking a Senior Data Engineer to design, build, and optimize client’s modern data platform. This role is responsible for developing robust data pipelines, implementing the Medallion Architecture (Bronze, Silver, Gold), and driving adoption of Snowflake data services. The candidate must be hands-on, detail-oriented, and thrives on solving complex data challenges in a fast-paced environment.
Job Responsibility:
Design, develop, and maintain scalable ETL/ELT pipelines using Fivetran and Snowflake
Implement and maintain Medallion Architecture layers (Bronze, Silver, Gold) for data curation and analytics readiness
Develop data models (conceptual, logical, and physical) supporting analytics, operational systems, and business reporting
Ensure data quality, lineage, and governance across multiple data sources and domains
Collaborate with analysts, application teams, and business stakeholders to understand data requirements and optimize data flows
Optimize Snowflake performance through warehouse sizing, query tuning, and storage management
Support the integration of structured and unstructured data from diverse systems (ERP, CRM, Shopify, SQL Server, Twilio etc.)
Contribute to the data platform roadmap, architecture standards, and automation of data engineering processes
Provide technical mentorship to junior data team members and help establish data engineering best practices
Requirements:
Bachelor’s degree in computer science, Information Systems, or related field (or equivalent experience)
7+ years of experience in data engineering or similar roles
Expertise with Snowflake, including schema design, Snowpipe, Streams/Tasks, and SnowSQL
Experience in Azure cloud services
Experience of data modeling, SQL, Python, and ETL/ELT best practices
Hands-on experience implementing Medallion Architecture or equivalent layered data lake design
Familiarity with data governance, security, and CI/CD practices for data workflows
Excellent problem-solving skills and ability to work collaboratively across technical and business teams
Experience with Power BI or other BI/reporting platforms
Experience with API integrations, REST, and JSON data formats
Nice to have:
Exposure to machine learning pipelines or advanced analytics frameworks
Experience in a manufacturing, logistics, or e-commerce environment is a plus