Role: SDE III Data Engineer Location: Remote Employment Type: Contractor (6 months) Application Stack · Python/ PySpark · Apache AirFlow · Snowflake · SQL Database · MLOps · Snowpark · Azure/AWS Functions · Blob Storage · XML, JSON · GitHub Essentials for Being Successful in This Role · Minimum 5 years of experience in software development and system design · Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration. · Expertise in Snowflake or similar MPP databases. · Strong SQL skills. · Experience with multiple database technologies (MSSQL, PostgreSQL, OLAP, OLTP). · Familiarity with ETL/ELT tools and methodologies. · Experience with database health monitoring, stored procedures, and schema design. · Practical understanding of data governance principles. · Experience with cloud environments (SaaS, PaaS, IaaS). · Strong communication skills, both written and verbal. · Experience in technical design and documentation. · Proficiency with source control systems (Git, Gitflow). · Experience with Agentic AI (Claude, GPT, etc.). Desirables (Nice to Have) · Familiarity with Generative AI and Spec-Driven Development. · Experience with test automation. · Experience with Kafka, Azure Event Hubs, Azure Service Bus. · Knowledge of CI/CD practices. · Ability to work independently and within Agile teams. · Experience with Azure cloud services. · Exposure to Master Data Management (MDM). · Python skills for data transformation and pipeline automation. · Understanding data mesh principles. · Strong prioritization and multitasking abilities. Roles & Responsibilities · Designing, building, testing, and maintaining scalable data models using Apache Airflow and Python. · Administering Snowflake environments, monitoring system health and performance. · Managing and optimizing Snowflake virtual warehouses for efficiency and cost-effectiveness. · Managing the MLOps workflow through Snowflake registrations and Snowpark. · Promoting self-service and decentralized data ownership across teams. · Enforcing data governance policies to ensure standardization, quality, and compliance. · Providing technical assistance and cross-training to team members. · Participating in design sessions and creating technical design documents and diagrams. · Conducting code reviews and offering constructive feedback. · Mentoring engineers to support team growth and development. · Collaborating with senior engineers in the Architecture Review Board. · Ensuring delivery quality and supporting production services.