Description

You will lead the development and implementation of advanced analytical data solutions.

Responsibilities

• Plan and research advanced analytical data solutions, including generative AI use cases.
• Partner with stakeholders to gather requirements, understand data sources, and design data pipelines.
• Collaborate on design reviews and contribute hands-on development to data pipelines.
• Communicate progress and technical solutions to business and technical stakeholders.

Required Skills

• 7+ years of data engineering experience across Dev, QA, and Production environments with DevOps practices.
• 5+ years of proven experience using SQL and Python.
• 3+ years designing and building relational databases (Snowflake, PostgreSQL, or similar).
• Experience developing solutions for complex data engineering challenges supporting advanced analytics.
• 3+ years managing and deploying code using Git-based source control.
• 2+ years experience with job scheduling and orchestration tools (Airflow or similar).
• Experience building and maintaining ELT/ETL data pipelines for several years.
• Experience with containerization technologies (Docker, Kubernetes).
• Experience with a range of generative AI models, tools, and concepts.

Preferred Skills

• Familiarity with Knowledge Graphs, Data Mesh, and data-sharing platforms.

Key Skills

Education

Any Graduate