Data Engineer SR
Core
Design and maintain robust, scalable data infrastructure with a primary focus on the Snowflake ecosystem.
Role type
Senior Data Engineer
Builds
Data pipelines, warehouses, and ELT processes for enterprise data consumption
Domain
Cloud Data Engineering (Snowflake, Azure, Databricks)
Deliverable
production ML models | infrastructure
Required skills
Advanced SQL (window functions, CTEs, performance tuning), Snowflake architecture (Warehouses, micro-partitions, clustering, ELT Tasks), dbt, Azure Data Factory, PySpark/Spark SQL, Python scripting, JavaScript, Git/CI-CD, RESTful APIs, OAuth2/JWT authentication, Data modeling (Star/Snowflake schemas), Data governance (metadata, lineage)
Preferred skills
SAP HANA (SQLScript, Calculation views, performance optimization)
Technologies
Snowflake, Microsoft Azure, Azure Data Factory, Azure Blob Storage, Azure Functions, Logic Apps, Azure Key Vault, Azure Monitor, Databricks, GitHub Actions, Azure DevOps, GitLab CI, Postman
Responsibilities
Implement role-based access, masking policies, and row-level security; configure External Stages for Azure Blob/S3 and manipulate Parquet/JSON/CSV formats; develop event-driven automation using Azure Functions/Logic Apps; optimize distributed data processing with caching, partitioning, and broadcast joins; build CI/CD pipelines for data transformations
Seniority
Senior, hands-on IC