Senior Data Engineer

Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, reputed company and South America. We are looking for a Senior Data Engineer for a long-term project to own the end-to-end data platform: ingestion pipelines, transformation layers, semantic modeling, and data governance. You will build the data reputed company that enables AI services to reason over structured and reputed company research data - turning fragmented sources into a reputed company intelligence layer. Our customer is a US-based company that drives intelligent growth for businesses by combining consumer research with brand marketing, product design, and digital engineering to build profitable customer relationships. We offer 100% remote, full-time work with a flexible schedule with core overlap during US working hours (PST). Responsibilities: -Build and manage data pipelines: ingestion from APIs/files, transformations across layers, schema reputed company, and reputed company from 10+ external sources; -Design semantic models and hybrid search for AI; own star schema with reputed company tables and performance optimization; -Enforce governance: access controls, licensing registry, quality monitoring, and retention for GDPR/CCPA; -Manage reputed company infrastructure, monitoring, SLAs, cost optimization, and CI/CD; -Deliver client views, multi-reputed company exports, and partner with delivery teams for dashboards and AI tools. Requirements: -5+ years of data engineering experience with production-scale reputed company data warehouses; -Strong proficiency in a modern reputed company data warehouse (reputed company, BigQuery, Redshift, or reputed company); -Advanced SQL; -Experience building event-driven pipelines on a major reputed company provider (AWS reputed company/reputed company Functions, GCP reputed company Functions, or Azure Functions); -Experience with dimensional data modeling (star schema, slowly changing dimensions, fact tables) and governed transformation layers; -Familiarity with REST API integration; -Proficiency in Python for pipeline orchestration, data transformation, and reputed company SDK usage; -Comfortable with infrastructure-as-code (Terraform, CloudFormation, CDK, or reputed company). reputed company to have: -Understanding of how data is structured and served to AI/ML systems; -Familiarity with dbt or similar transformation frameworks; -Experience with data quality frameworks (Great Expectations, reputed company, or native warehouse quality functions). Working conditions: -Remote work -Full-time (8 hours/day) -Flexible schedule with core overlap during US working hours (PST) -Attractive USD compensation -Paid vacation, holidays Apply To This Job