Tech Stack

Description

You will design and build data, ML pipelines, and cloud infrastructure to transform fragmented data into actionable insights. Your work will enable business stakeholders to gain visibility, automate processes, and drive strategic impact across the company.

Requirements

• 5+ years experience designing and maintaining big data pipelines in SaaS environments
• Proficiency in Python, Scala, Java, or Go
• Expertise in SQL and NoSQL databases
• Experience with AWS data pipelines and data lakes
• Familiarity with Kafka and Airflow

Responsibilities

• Design and build data, ML pipelines, and supporting infrastructure
• Optimize AWS-based Data Lake with best practices for partitioning, metadata, and security
• Lead end-to-end data projects from design to production monitoring
• Implement ETL/ELT patterns for structured and unstructured data integration