Data Engineer Treasure Data

Work Location: Bangalore

Responsible for building robust, scalable, and optimized ETL pipelines, managing Customer Data Platform (CDP) infrastructure, and driving automated workflows and data processing.

Internal Alignment: Resource will be working with core development team members in feature development along with supporting the Support team in terms of technical analysis, production RCA and business onboarding requests. [50:50 capacity split]

Technical Skills & Competencies

• Treasure Data (CDP): Deep proficiency in Treasure data workflow, understanding of Trino/hive, SQL.
• Python / PySpark: Strong hands-on experience in building distributed processing frameworks using Python/PySpark to manage large-scale data manipulation and batch transformations.
• Advanced SQL Mastery: Expert-level understanding of optimized query structuring, window functions, schema architectures, data cleansing, and performance tuning across complex database setups.
• Agile / Scrum Methodologies: Active alignment with continuous delivery pipelines, sprint ceremonies (stand-ups, retrospectives, planning), and tracking items dynamically in workflow systems like Jira or Confluence.

Soft Skills Needed

• Systems Thinking & Agility: The power to quickly adapt to rapidly changing sprint priorities, technical constraints, and data governance updates.
• Active Cross-Functional Collaboration: Strong capacity to seamlessly bridge technical infrastructure gaps with requirements set by downstream business analytics teams.
• Self-Documentation Discipline: High priority placed on clear, comprehensive blueprint mapping and ETL logic documentation to avoid pipeline knowledge gaps.