Senior Data Engineer

Job summary

Responsibilities - Partner with stakeholders to understand business processes, pain points, and desired outcomes - Design and build AI-assisted workflows using modern AI development tools and automation frameworks - Translate business requirements into reusable workflows, prompts, agents, skills, and integrations - Connect files, APIs, databases, and enterprise systems to support workflow automati

Qualifications

• into reusable workflows, prompts, agents,
• Support stakeholder adoption through training, guidance, and reusable best practices
• Identify opportunities to scale successful solutions across teams
• Designs and builds proper data pipelines required for optimal data collection and processing from a variety of data sources.
• Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability.
• Implements rigorous data validation and integrity checks to support data pipeline and model performance.
• Designs, develops, and optimizes automated and scalable data pipeline architectures using Extract, Transform, and Load (ETL) processes to build reusable data products, independently.
• Collaborates in an agile development environment to develop, maintain, and debug data solutions that are scalable, efficient, and reliable.
• Collection, and Infrastructure:
• Identifies data
• and business objectives of a project or initiative in collaboration with cross-functional teams.
• Designs and builds proper data pipelines required for optimal data processing from a variety of data sources.

Responsibilities

• Partner with stakeholders to understand business processes, pain points, and desired outcomes
• Design and build AI-assisted workflows using modern AI development
• Data Processing & Pipelining – Data
• Planning & Execution:
• Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet

Degrees

Work schedule

Industry

Company size