Data Engineer

Job not on LinkedIn

🔥 6 minutes ago

🇰🇪 Kenya – Remote

💵 $17 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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VIZX International

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

VIZX International is a leading provider of Business Process Outsourcing (BPO) and Recruitment Process Outsourcing (RPO) services. The company specializes in delivering top-notch recruitment and staffing solutions to businesses in various industries, focusing on talent acquisition, on-demand staffing, and HR consulting. With a commitment to exceptional service and measurable results, VIZX International helps organizations build high-performing teams and drive business growth.

📋 Description

• Design, build, and maintain BigQuery datamarts and analytical tables for BI reporting • Develop scalable data models, including star schema, snowflake, and denormalized models • Optimize query performance and storage efficiency within cloud data warehouses • Collaborate with BI teams to align datasets with semantic models and dashboards • Build and maintain data pipelines for data ingestion, transformation, and loading into analytics environments • Implement transformation workflows using SQL or frameworks such as dbt • Ensure data quality, validation, and consistency across datasets • Maintain data standards, naming conventions, and documentation • Implement governance practices, including schema management and version control • Monitor and troubleshoot pipeline failures and data inconsistencies • Deliver optimized datasets that minimize heavy transformations within BI tools

🎯 Requirements

• 3+ years of experience in Data Engineering or Analytics Engineering • Strong SQL expertise for analytical workloads • Experience with cloud data warehouses such as BigQuery, Amazon Redshift, Snowflake, or similar platforms • Proven experience designing star-schema or dimensional data models • Experience building analytics-ready datamarts • Experience with dbt or similar data-transformation frameworks • Familiarity with Git-based workflows and CI/CD for data pipelines • Experience with BI tools such as Looker, Tableau, or Power BI • Background working with retail or multi-location data environments