
Analytics Engineer
HR Ways - Hiring Tech Talent
full-time
Posted on:
Location Type: Remote
Location: Pakistan
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Tech Stack
About the role
- Develop, test, and maintain high-performance dbt data pipelines within our ELT framework.
- Own the lifecycle of data products—from understanding the initial business question to deploying the final dashboard or automated insight.
- Partner closely with business units (Product, Finance, Ops) to identify value-creation opportunities and translate vague requirements into technical specs.
- Build and manage reports that provide 'single source of truth' visibility into company performance at all levels, from executive KPIs to granular operational metrics.
- Ensure data integrity and documentation across the warehouse, advocating for best practices in version control and testing.
Requirements
- 2+years of professional experience working with ELT Data Warehousing (e.g., Snowflake, BigQuery, Redshift).
- Expert-level SQL and proficiency in Python.
- Hands-on experience with dbt (data build tool) is essential.
- Experience navigating the complexities of financial data (e.g., ledgers, transaction flows, reconciliation) is a major plus.
- Full professional fluency in English (written and spoken).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondbtELT Data Warehousingdata pipelinesdata integrityversion controltestingreport buildingdata documentation
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingbusiness acumen