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: Robust 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: Solid capacity to seamlessly bridge technical infrastructure gaps with requirements set by downstream business analytics teams.
Self-Documentation Discipline: High priority placed on explicit, comprehensive blueprint mapping and ETL logic documentation to avoid pipeline knowledge gaps.

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📌 Data Engineer Treasure Data Bengaluru (India)
🏢 Impelsys
📍 India