Analytics Engineer

🔥 8 minutes ago

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Pipeline Design and Development; Architects and builds scalable data pipelines using modern ELT (Extract, Load, Transform) tools and frameworks such as DBT (Data Build Tool), or similar. • Automates data ingestion processes from various sources including databases, APIs, and third party services. • Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake • Optimizes storage solutions for performance, cost efficiency, and scalability. • Data Modeling - Develops and maintains logical and physical data models to support business analytics. • Creates and manages dimensional models, star/snowflake schemas, and other data structures. • Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages. • Implements data transformation workflows to handle data cleansing, normalization, and enrichment. • Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs. • Acts as a liaison between technical teams and business units to translate business requirements into technical specifications.

🎯 Requirements

• 5+ years of experience working in Analytics Engineer or relevant • Experience working with SQL and Python • Advanced knowledge of PowerBI (Power Query and DAX) • 4+ years of experience with pipeline automation tools (Fivetran would be a plus) • Strong knowledge of DBT or other ELT frameworks/tools (Apache AirFlow). • Strong English communication skills

🏖️ Benefits

• Competitive salary and performance-based bonuses • Comprehensive benefits package • Career development and training opportunities • Dynamic and inclusive work culture within a globally renowned group • Private Health and Dental Insurance • Pension Plan • Meals tickets • Life Insurance