Description

Design, build, and operate scalable data platforms and pipelines to support enterprise analytics and reporting.

Responsibilities

• Develop and optimize ETL/ELT workflows using Python and SQL for data transformation and processing.
• Collaborate with application teams, platform engineering, and business stakeholders to translate complex data requirements into reliable solutions.
• Ensure data quality, consistency, and governance across distributed data systems.
• Operate in Linux environments, automate processes, and troubleshoot pipeline issues effectively.

Required Skills

• 7+ years of professional experience as a Data Engineer working on production-scale data systems.
• Strong proficiency in Python and SQL for data transformation, pipeline development, and performance optimization.
• Extensive experience building ETL/ELT pipelines and data processing workflows.
• Hands-on experience with relational and NoSQL databases, including data modeling and query optimization.
• Experience working with distributed data platforms and cloud-based data storage solutions.
• Any Graduate degree.

Key Skills

Education

Any Graduate