Data Engineer

Location:

Houston, TX Work Setting:

Hybrid (3 to 4 days onsite)

Job Description:

Experience:

Handling data in clothing retail Merchandising and eCommerce Technology skills: Snowflake, Fivetran, Google Pub sub methods for real time event streams using topics and event subscriptions Snowflake experience designing and building multi-layered data warehouse architectures, including Snowpipe, Snowpipe Streaming, Streams, Tasks, Dynamic Tables, and performance tuning of complex SQL on high-volume datasets. expertise in Google Cloud Platform streaming services, specifically Google Cloud Pub/Sub and Cloud Dataflow (Apache Beam), with proven experience building real-time ingestion pipelines, consuming event streams, flattening nested JSON, handling schema evolution, and routing data into cloud data warehouses. Solid data engineering fundamentals, including advanced SQL, Python, and experience with dbt for building modular, testable, and version-controlled data transformations. Experience with API-based and event-driven data integration, including REST APIs, webhooks, and pub/sub event subscriptions, along with handling JSON/semi-structured data, schema validation, and data enrichment patterns.