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

Share your CV at [email protected]

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: Robust 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.

📌 Senior Data Engineer (CDP & Python Specialist) (India)
🏢 EliteSquad.AI
📍 India