Senior Data Engineer, Snowflake, DBT, Python

🕒 September 22

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Logo of Capgemini

Capgemini

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

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

• Develop and maintain secure, efficient data pipelines using DBT, PySpark, and Python applications • Build infrastructure and tooling for ETL processes using Python, DBT, Terraform, and AWS services • Implement process improvements and data quality testing • Monitor pipelines and maintain 99.5% uptime • Create and maintain data models used by partner teams • Design and build semantic views and ontology layers on top of dbt models • Develop and deploy AI agents using Snowflake Cortex Analyst/Cortex Search for HR use cases • Configure and maintain MCP connections between Snowflake and internal AI tooling • Develop and maintain trusted HR analytics data products and infrastructure enabling secure, scalable, and certified datasets for HR Centers of Excellence and HR leaders

🎯 Requirements

• 5+ years of experience • Strong knowledge of data modeling • Strong knowledge of data marts • Strong knowledge of data warehouse design • Strong knowledge of DBT for data transformations • Strong knowledge of Python, including object-oriented programming and data scripting • Strong knowledge of REST API integration and data ingestion • Strong knowledge of Google BigQuery querying and optimization • Strong SQL and highly optimized query development

🏖️ Benefits

• Base pay only; bonuses, incentives, and benefits will be discussed later in the recruitment process

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