Data Engineer

Job not on LinkedIn

🕒 5 days ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FyerX - Your Trusted Marketing Partner

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

📣 Marketing

🤝 B2B

Marketing • B2B

FyerX is a marketing agency based in Bangalore that specializes in helping businesses enhance their digital presence and improve online outcomes through tailored marketing strategies. With a passionate team of marketing experts, FyerX focuses on various aspects of digital marketing including social media marketing, branding, search engine optimization, and influencer marketing. They aim to fuel the growth of purpose-driven brands by developing integrated marketing plans that drive online growth and improve brand visibility.

📋 Description

• Architect, build, and maintain scalable ETL/ELT data pipelines and infrastructure for FyerX's internal operations and client technology transformations • Develop automated workflows using n8n, webhooks, and REST APIs • Securely extract, normalize, and merge cross-platform metrics from Google, Meta, GA4, and CRM tools • Manage and optimize relational databases and cloud data warehouses such as PostgreSQL, Snowflake, and BigQuery • Ensure low-latency data access for AI scripts, dashboards, and reporting tools • Collaborate with AI specialists, backend engineers, and marketing teams • Route clean, structured data payloads to large language models, agentic workflows, and automated alerting systems • Implement data quality checks, automated deduplication, and comprehensive monitoring • Proactively flag anomalies, prevent budget waste, and maintain data integrity

🎯 Requirements

• Minimum 3 years of experience as a Data Engineer • Strong portfolio showcasing scalable ETL/ELT pipelines, robust data integration, and cloud-based data architecture • Proven track record designing, building, and deploying automated, production-grade data pipelines • Advanced proficiency in SQL • Programming proficiency in Python or Scala • Deep understanding of data modeling, schema design, and query optimization • Hands-on experience with modern data stack tools • Experience with cloud infrastructure: AWS, GCP, or Azure • Experience with data warehouses: BigQuery, Snowflake, or Redshift • Experience with orchestration platforms: Airflow or n8n • Expertise integrating complex enterprise APIs • Experience handling JSON/XML payloads • Experience securely synchronizing databases with external marketing networks and CRM platforms • Focus on data governance and security compliance • Ability to write clean, scalable, and well-documented infrastructure code • Strong organizational, time-tracking, and project management skills • Ability to handle multiple data integration projects simultaneously, meet tight deadlines, and coordinate with remote tech teams

🏖️ Benefits

• Full-time salary with compensation aligned to industry standards and experience level • Remote work arrangement