Data Engineer

VIZX International

. Design, build, and maintain BigQuery datamarts and analytical tables for BI reporting .

Posted 9/21/2026full-timeRemote • KenyaMid-LevelSenior💰 $17 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining BigQuery datamarts and analytical tables, with strong SQL skills for optimizing data models and pipelines. Proficient in implementing data governance practices and ensuring data quality across analytics environments.

Highest-signal resume keywords

BigQuery Data EngineeringSQL ExpertiseData Modeling (Star Schema, Snowflake)Data Transformation (dbt)BI Tools (Looker, Tableau, Power BI)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringData Pipeline DevelopmentQuery OptimizationData Quality AssuranceSchema ManagementVersion ControlData IngestionData TransformationDimensional Data Models

Tools & Technologies

BigQueryAmazon RedshiftSnowflakeDbtGitCI/CDLookerTableauPower BI

Industry Keywords

Retail DataMulti-Location DataData GovernanceData StandardsAnalytical Workloads

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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