Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and oversee data pipelines: including data ingestion from APIs/files, transformations across various layers, schema evolution, and collection from over 10 external sources.

• Create semantic models and hybrid search capabilities for AI; take ownership of the star schema along with bridge tables and performance enhancements.

• Implement governance measures: access controls, licensing registry, quality monitoring, and compliance with GDPR/CCPA retention policies.

• Oversee cloud infrastructure, including monitoring, service level agreements (SLAs), cost optimization, and continuous integration/continuous deployment (CI/CD).

• Provide client views, facilitate multi-cloud exports, and collaborate with delivery teams on dashboards and AI tools.

⛳️ Requirements

• A minimum of 5 years of experience in data engineering, specifically with production-level cloud data warehouses.

• Expertise in a contemporary cloud data warehouse (such as Snowflake, BigQuery, Redshift, or Databricks).

• Proficient in advanced SQL.

• Experience in constructing event-driven pipelines on a leading cloud provider (AWS Lambda/Step Functions, GCP Cloud Functions, or Azure Functions).

• Knowledge of dimensional data modeling (including star schema, slowly changing dimensions, and fact tables) along with governed transformation layers.

• Familiarity with REST API integration.

• Skilled in Python for orchestrating pipelines, transforming data, and utilizing cloud SDKs.

• Comfortable with infrastructure-as-code tools (Terraform, CloudFormation, CDK, or Pulumi).

🏝️ Benefits

• Flexible working hours with core overlap during US business hours (PST).

• Competitive compensation in USD.

• Paid vacation and holidays.