Data Engineer
FyerX (company site, opens in a new tab)3+ yrsRemoteDirect career pageEst. 8–16 LPA
Posted on 13 Sept
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Job description
Structured overview of role & requirements
About 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.