Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Architect, build, and maintain scalable ETL/ELT data pipelines and infrastructure for FyerX and its clients.
Develop automated workflows using tools like n8n, webhooks, and REST APIs to integrate data from marketing and CRM platforms.
Manage and optimize cloud data warehouses and databases to ensure low-latency data access for AI workflows and reporting.
Minimum Requirements
Minimum 3 years of professional data engineering experience with production-grade automated pipelines.
Proficiency in SQL and programming languages such as Python or Scala; strong data modeling and query optimization skills.
Hands-on experience with cloud data warehousing (BigQuery, Snowflake, Redshift), cloud infrastructure (AWS, GCP, Azure), and orchestration tools (Airflow, n8n).
Proven ability to integrate complex enterprise APIs, handle JSON/XML payloads, and securely sync data with marketing networks and CRM platforms.
Ideal Candidate Profile
Experienced working with tech firms, marketing agencies, or enterprise platform integrations (e.g., Salesforce, ServiceNow).
Capable of collaborating with AI specialists and backend teams to ensure clean data for LLMs and automated workflows.
Skilled at implementing data quality checks, anomaly detection, and maintaining data governance and security compliance in remote, multi-project environments.