Description

Key Skills: SQL, Python, AWS, Data Pipelines, ETL, dbt, Redshift, Databricks, ClickHouse, Data Lake

Good to Have Skills: JavaScript, Golang, Azure, Google Cloud, singer-taps, reverse ETL flows, BI tools, AI agents, code review processes, analytical problem-solving abilities, and experience translating business requirements into technical designs.

Roles & Responsibilities:

• Design and build scalable data pipelines from internal and external sources to serve business needs.
• Continually make enhancements that improve data architecture, making it performant, secure, and easier to maintain.
• Collaborate with analysts and product teams to build agents that can automate workflows and generate insights.
• Actively participate in the code review process, design discussions, and constructively identify problems and propose solutions.

Experience Required: 3-5 years of experience in Data Engineering at scale with advanced knowledge of data lake fundamentals and performance aspects

Key Skills

Education

Any Graduate