Senior Data Engineer (Treasure Data & Python Specialist)

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 SANJAY.C@ELITESQUAD.AI
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 clear, comprehensive blueprint mapping and ETL logic documentation to avoid pipeline knowledge gaps.

Work arrangement
Yes