Note: The job is a remote job and is open to candidates in USA. Nitka Technologies develops software for customers in the US and Europe, and they are seeking a Senior Data Engineer to own the end-to-end data platform. The role involves building data pipelines, designing semantic models, enforcing data governance, and managing cloud infrastructure to enable AI services over structured and unstructured data.
Responsibilities
- Build and manage data pipelines: ingestion from APIs/files, transformations across layers, schema evolution, and collectors from 10+ external sources
- Design semantic models and hybrid search for AI; own star schema with bridge tables and performance optimization
- Enforce governance: access controls, licensing registry, quality monitoring, and retention for GDPR/CCPA
- Manage cloud infrastructure, monitoring, SLAs, cost optimization, and CI/CD
- Deliver client views, multi-cloud exports, and partner with delivery teams for dashboards and AI tools
Skills
- 5+ years of data engineering experience with production-scale cloud data warehouses
- Strong proficiency in a modern cloud data warehouse (Snowflake, BigQuery, Redshift, or Databricks)
- Advanced SQL
- Experience building event-driven pipelines on a major cloud provider (AWS Lambda/Step Functions, GCP Cloud 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 cloud SDK usage
- Comfortable with infrastructure-as-code (Terraform, CloudFormation, CDK, or Pulumi)
- 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, Monte Carlo, or native warehouse quality functions)
Benefits
- 100% remote, full-time work with a flexible schedule with core overlap during US working hours (PST)
- Remote work
- Full-time (8 hours/day)
- Flexible schedule with core overlap during US working hours (PST)
- Attractive USD compensation
- Paid vacation, holidays
Company Overview