Sr Snowflake Data Engineer

We are seeking a Sr Snowflake Data Engineer to leverage prior experience and industry-standard best practices to analyze cross-functional data and provide insights to business teams. The ideal candidate will have experience in Snowflake, data warehouse technologies, and cloud platforms, as well as strong skills in data analysis, design, and implementation.

Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems, or similar
• 7+ years of documented experience in writing strong SQL and PLSQL in data warehouse technologies with a minimum of 3+ years in Snowflake
• Deep Knowledge on Clustering and Partitioning, Materialized Views, Time Travel and Fail-safe, Data Sharing and Data Marketplace, Streams and Tasks
• Query Optimization Techniques, Snowpipe, Advanced Data Security Features, Advanced User Management and Role-Based Access Control (RBAC)
• Advanced API and Integration Techniques [Apache Kafka, ETL tools (e.g., Matillion, Fivetran), and BI tools using Snowflake's native connectors and third-party APIs.]
• Cloud Awareness - Implement and manage data solutions on Cloud Platforms, primarily on the Microsoft Azure cloud platform, including cloud data pipeline/near-real-time/batch loads/flow orchestration.
• Data Observability to understand the health and performance of data pipelines in real-time.
• Strong in building data pipelines, database design & development, writing optimized queries, handling Facts and dimension data effectively.
• Experience in ad-hoc data analysis and solution design
• Adhere to framework standards on scalability, restart ability, error logging, and manageability
• Strong in Star Schema / Dimensional Modelling, able to implement a solution, and convert existing logical to physical data models.
• GenAI Readiness - Awareness of GenAI and Models, Use Synthetic Data, and relevant data structures to train models.
• Strong understanding of ML Platforms ( Azure / Databricks)
• Ability to write complex SQL scripts, perform query tuning, and benchmarking.
• Proficiency in at least one relevant programming language (e.g., Python), including SQL skills.
• Excellent communication skills, with the ability to work individually and in a broader geographically dispersed team.
• Experience on developing solutions on the ServiceNow platform will be a big plus
• Snowflake core advanced certification is a plus

Benefits

• competitive salary
• bonus
• health insurance
• 401(k) matching
• stock options
• generous parental leave policy
• flexible work arrangements
• professional development opportunities