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Data Engineer

Job in 835227, Jaipur, Jharkhand, India
Listing for: Conscious Creations AI
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Engineer
Job Description & How to Apply Below
About the Role
Build and own the complete data infrastructure for TourIQ: ETL pipelines, third-party platform integrations, external data ingestion, ML feature preparation, and time-series data management. You ensure clean, timely data flows from every source into the platform and ML models.

Key Responsibilities

Integration Pipelines
Build and maintain connectors to third-party platforms: bi-directional data sync for products, schedules, and transactions
Implement configurable sync frequencies and adaptive polling
Build a reusable connector architecture so new integrations can be added quickly
Handle API failures gracefully: rate limiting, exponential backoff, error tracking; field mapping between schemas
Document all data schemas, field mappings, and pipeline designs

External Data
Integrate multiple industry-relevant external data sources (weather, events, demand signals, and others)

ML Data Infrastructure
Compute and maintain ML features across multiple signal categories
Manage time-series data with proper retention and compression policies
Build data pipelines supporting new customer onboarding scenarios
Scheduled feature computation and data quality jobs

Data Quality & Operations
Data quality monitoring and alerting; connection management with error tracking
Database backups, recovery testing, migrations (zero-downtime); assist with RDS management

Must-Have
2+ years in Data Engineering or data-heavy backend roles
Strong Python for ETL/ELT pipelines including PySpark for large-scale processing; solid PostgreSQL
REST APIs, webhooks, event-driven data ingestion; data modeling and quality practices
API failure handling (rate limits, retries, partial data)
Preparing data for ML training: feature engineering, validation, train/test splits

Good to Have
Timescale

DB; travel/hospitality platforms; task schedulers;
Alembic;
Kubernetes basics

Mindset
Owns data reliability. Meticulous about quality and edge cases. Comfortable working closely with ML engineers. Startup ownership.

Why Join
Own core data infrastructure from day one. Build pipelines powering ML-driven pricing. High ownership in an early-stage B2B startup. Onsite in Jaipur.
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