Job Description
We’re looking for a hands-on Data Engineer to take charge of our ELT pipelines, warehouse modeling, and BI-ready data layers. This role is a mix of 60% data engineering and 40% BI enablement, with a strong emphasis on SQL, data quality, and performance-driven outputs.
You’ll be working with Mage, Postgres, and Zoho Analytics/DataPrep. If you’ve worked with tools like Hevo, Stitch, or Matillion, you’ll find the transition easy. Your work won’t just sit in the background — it will directly power dashboards, KPIs, and executive decision-making for leading franchise brands.
Job Industry
Job Salary Currency
Job Salary Fixed
NoKey Deliverables
- Data Engineering (60%)
- Maintain and enhance ELT pipelines on Mage (80% maintenance, 20% new connectors).
- Design data models, schemas, and SQL view tables for BI and performance reporting.
- Ensure data quality, accuracy, and consistency across the warehouse.
- Troubleshoot and monitor data pipelines to keep the flow smooth.
- Document everything — reproducibility and handover are key.
- Maintain and enhance ELT pipelines on Mage (80% maintenance, 20% new connectors).
- BI & Reporting Enablement (40%)
- Prepare BI-ready datasets for Zoho Analytics dashboards.
- Translate business OKRs into performance-driven datasets.
- Support ad hoc SQL queries and reporting needs.
- Build scalable data transformations that feed executive KPIs.
- Prepare BI-ready datasets for Zoho Analytics dashboards.
- Collaboration & Growth
- Work with the CDAIO on strategy and architecture.
- Partner with automation engineers on workflow and agentic processes.
- Be part of future projects in ML and AI pipelines.
- Stay ahead of open-source and emerging technologies.
- Work with the CDAIO on strategy and architecture.
Essential Qualities
Essential Qualities |
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Special Benefits for this Position
- Provident fund.
- Medical Aid.
- Hybrid after probation.