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Urgent! Data Engineer Job Opening In Kenya, Kenya – Now Hiring AFRICAWORK

Data Engineer



Job description

We are recruiting a
freelance Data Engineer
on behalf of our client, a company operating in the
custom software development and artificial intelligence services
sector.

The position is
fully remote
.

Missions :

  • Involving in the product development life cycle from brainstorming ideas to designing quality interactive data visualizations that tell a story with elegance
  • Engaging in every step of the development life cycle, from collecting requirements and communicating to users, to designing, developing, and testing the products
  • Working with data solutions, and data modeling, understanding ETL pipelines, and dashboard tools
  • Interacting with other team members to develop technical specifications, including documentation to support production code
  • Exploring and promoting strategies to improve our data modeling, quality, and architecture

Primary Technical Proficiencies:

  • SQL Server Product Suite: Strong expertise in SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server
  • Analysis Services (SSAS), and SQL Server Reporting Services (SSRS)
  • Microsoft Azure Cloud Resources: Solid experience with Azure Data Factory (ADF), Logic Apps, and CI/CD practices for smooth data and process integration Python and PySpark: Proficient in Python and PySpark for complex data processing and analysis

Main Technologies:

  • Azure Databricks and Spark Ecosystem: Strong knowledge of Azure

Databricks, Spark, Spark SQL, PySpark, Delta Tables, and Lakehouse

architecture Data Integration with

  • Azure Data Factory: Familiarity with data orchestration and transformation pipelines

Nice to Have:

  • Data Lake and Lakehouse Architecture: Experience with Azure Data Lake and a foundational understanding of the Lakehouse paradigm is a plus, with an eagerness to learn more DAX and Power BI for Data Visualization: Background in DAX for data modeling and Power BI for enhanced data insights
  • Azure Fabric and ADF Dataflows: Experience with Azure Fabric for integration and ADF dataflows to enable streamlined data transformations

Technical Environment:

  • Main Technologies or languages: SSIS, DAX, Azure SQL, T-SQL
  • Side Technologies: Azure Logic Apps, Azure Power Automate
  • Main skills: Data Modeling, ETL best practices (incl.

    incremental patterns, optimizing for huge data loads, coding patterns, DevOps), DW Data modeling, comfortable with connecting to multiple data sources (Oracle, SAP, REST API, Data Lake)

Experience : +5 years

Education Level Required : - Bachelor's Degree

Languages ​required
:
English – Advanced level


Required Skill Profession

Other General



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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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