Description

You will lead the development and implementation of advanced analytical data solutions, including generative AI use cases.

This role is hybrid.

Responsibilities

• Plan and research advanced analytical data solutions.
• Partner with stakeholders to gather requirements and design data pipelines.
• Contribute hands-on development to data pipelines and design reviews.
• Communicate technical solutions and progress 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 such as Snowflake or PostgreSQL.
• 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 like Airflow.
• Experience building and maintaining ELT/ETL data pipelines.
• Experience with containerization technologies including Docker and 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