Data Science Senior Developer

Position Overview

We are seeking a skilled Data Science Senior Developer with 5-7 years of experience to join our growing analytics team. The ideal candidate will have expertise in Microsoft's data platform ecosystem and will be responsible for developing, implementing, and maintaining data solutions that drive business intelligence and analytics initiatives.

Key Responsibilities

Data Analytics & Visualization

Design and develop interactive dashboards and reports using Power BI

Create compelling data visualizations that translate complex data into actionable business insights

Collaborate with stakeholders to understand reporting requirements and deliver solutions that meet business needs

Optimize Power BI performance and implement best practices for data modelling

Data Platform Management

Develop and manage data solutions using Microsoft Fabric for unified analytics

Design and implement data Lakehouse architectures and manage fabric workspaces

Utilize Fabric's capabilities for data engineering, data science, and real-time analytics

Data Integration & Pipeline Development

Build, deploy, and maintain ETL / ELT pipelines using Azure Data Factory (ADF)

Design data integration workflows to move and transform data from various sources

Monitor pipeline performance and troubleshoot data integration issues

Implement data validation and quality checks within pipelines

Automation & Scripting

Develop PowerShell scripts for data processing, automation, and system administration tasks

Automate routine data operations and maintenance tasks

Create scripts for data deployment and environment management

Data Management

Work with Microsoft Dataverse to manage and organize business data

Design and implement data models within Dataverse

Integrate Dataverse with other Microsoft ecosystem tools

Ensure data governance and security compliance

Required Qualifications

Experience & Education

Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or related field

3-5 years of hands-on experience in data science, business intelligence, or data analytics roles

Technical Skills

Power BI : Advanced proficiency in creating reports, dashboards, DAX calculations, and data modelling

Microsoft Fabric : Experience with Fabric workspaces, data engineering, and analytics capabilities

Azure Data Factory (ADF) : Strong experience in building and managing data pipelines, data flows, and integration workflows

PowerShell Scripting : Proficiency in writing scripts for automation, data processing, and system management

Microsoft Dataverse : Experience in data modelling, entity relationships, and integration

Additional Technical Requirements

Strong SQL skills for data querying and manipulation

Understanding of data warehousing concepts and dimensional modelling

Knowledge of cloud computing principles, preferably Microsoft Azure

Experience with version control systems (Git)

Familiarity with data governance and security best practices

Preferred Qualifications(Optional)

Microsoft certifications (Power BI, Azure Data Engineer, Fabric Analytics Engineer)

Experience with Python or R for advanced analytics

Knowledge of machine learning concepts and implementation

Experience with Agile / Scrum methodologies

Previous experience in a similar industry or domain

Soft Skills

Strong analytical and problem-solving abilities

Excellent communication skills with ability to explain technical concepts to non-technical stakeholders

Detail-oriented with strong organizational skills

Ability to work independently and manage multiple projects simultaneously

Collaborative mindset and team player attitude