Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Remote, mid-level generalist Data Engineer with popular tooling attracts high applicant density.
Core data engineering skills are transferable, though marketing-CRM integration experience slightly narrows applicability.
Explicit 3+ years plus many mandatory tech, cloud, and integration requirements increases filtering strictness.
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 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.
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.