ShyftLabs Benefits Overview

Lead the design, development, and optimization of scalable Databricks ETL/ELT pipelines using Python, PySpark, and SQL. Integrate databases, files, Amazon S3, and REST APIs; manage Delta Lake tables and Medallion Architecture; implement data quality, monitoring, error handling, and performance tuning. Guide engineers, make technical decisions, and collaborate cross-functionally to deliver production-ready data solutions.

Source, screen, and hire technical talent across software engineering, DevOps, data science, machine learning, cybersecurity, and other specialized roles. Partner with hiring managers, develop sourcing strategies, assess technical skills and cultural fit, guide candidates through the hiring process, and monitor recruiting market trends.

Own strategy, vision, roadmaps, and execution for technically complex data, cloud, and AI products. Lead discovery through launch, define requirements and success metrics, make prioritization and build-versus-buy decisions, and partner with engineering, architecture, data, and AI/ML teams. Serve as the senior product contact for Fortune 500 clients, lead distributed delivery teams, manage dependencies and stakeholders, and mentor junior product professionals.