Data Engineer (Treasure Data & Python Specialist)
Working Mode: Remote
Working Hours: 11:00 AM – 7:00 PM IST / 12:00 PM – 8:00 PM IST
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About the Role
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.

Responsibilities
• Responsible for building robust, scalable, and optimized ETL pipelines.
• Managing Customer Data Platform (CDP) infrastructure.
• Driving automated workflows and data processing.

Qualifications
• Exp: 7 + yrs

Required Skills

• 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 transparent, comprehensive blueprint mapping and ETL logic documentation to avoid pipeline knowledge gaps.

📌 Senior Data Engineer (India)
🏢 EliteSquad.AI
📍 India