Data Engineering
ripplehire
Job Description
- Lead the design and implementation of enterprise data engineering and analytics solutions.
- Build and optimize data pipelines, data models, and cloud-based data platforms.
- Drive development of reporting, dashboarding, and self-service analytics capabilities.
- Lead AI, Generative AI, and intelligent automation initiatives to improve business processes and operational efficiency.
- Collaborate with business and technology stakeholders to define and deliver scalable solutions.
- Mentor team members and provide technical leadership across projects.
Required Skills & Experience
- 10+ years of experience in Data Engineering, Analytics, or Enterprise Data Platforms and AI solutions.
- Strong expertise in Python and SQL.
- Hands-on experience with Snowflake, including data modeling, performance optimization, advanced platform features and developer framework Snowpark.
- Experience building ETL/ELT pipelines and API-based integrations.
- Familiarity with Dataiku, workflow orchestration, and business process automation tools like Camunda.
- Exposure to BI and analytics tools such as Sigma, Tableau, or similar platforms.
- Experience with OpenAI based AI/GenAI solutions, AI-assisted engineering (Codex/GPT -driven development), LLM integrations, intelligent document processing, or automation platforms.
- Experience with cloud platforms like AWS and Azure.
- Understanding of data governance, security, and modern data architecture principles.
- Strong problem-solving, stakeholder management, and leadership skills.