Data Engineer (Treasure Data & Python Specialist) : Exp: 7 + yrs

Role 1: Data Engineer (Treasure Data & Python Specialist) : Exp: 7 + yrs

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