Analytics Engineer

🔥 20 hours ago

🇧🇷 Brazil – Remote

💵 R$1 / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 9%

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Capgemini

WebsiteLinkedInAll Job Openings

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

• Lead the design, development, and deployment of scalable and robust data pipelines. • Establish and uphold data engineering best practices, including coding standards, data governance, performance optimization, and automation strategies. • Participate in code reviews and contribute to continuous improvement in coding practices and methodologies. • Design, build, and maintain ETL/ELT pipelines, reusable frameworks, and libraries. • Implement CI/CD pipelines for deployment, testing, and maintenance of analytics engineering processes. • Partner with data scientists, engineers, analysts, product managers, and business stakeholders to understand requirements. • Communicate complex technical concepts to non-technical stakeholders. • Perform advanced SQL development, query optimization, complex transformations, and large-scale data processing. • Design and develop enterprise-scale data solutions using Snowflake, including performance tuning, data sharing, tasks, streams, and modern platform capabilities. • Build scalable transformation frameworks, reusable business logic, testing, documentation, and deployment pipelines using dbt. • Develop star schemas, conformed dimensions, historical tracking, KPI frameworks, and analytical data models. • Manage data quality, lineage, metadata, testing, observability, and model lifecycle. • Deliver data products within Agile product teams and modern cloud environments.

🎯 Requirements

• 3+ years of experience working as an Analytics Engineer or equivalent • Hands-on experience with SQL, SQL Server, Python, SnowFlake and DBT. • Experience in version control systems such as Git, and workflow management tools such as Airflow • Proven experience in designing and building scalable data pipelines. • Expertise in ETL/ELT processes, data modeling, and integration of data from multiple sources into a data warehouse. • Experience with CI/CD workflows and tools for data engineering. • Strong problem-solving and analytical skills, with the ability to work effectively in a collaborative environment.

🏖️ Benefits

• A competitive salary and performance-based bonuses. • Comprehensive benefits package. • Flexible work arrangements (remote and/or office-based). • A dynamic and inclusive work culture within a globally renowned group. • Private Health Insurance. • Paid Time Off. • Training & Development opportunities in partnership with renowned companies. • Continuous learning and development

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