Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Engenheiro de Dados Sr construindo e otimizando pipelines de dados no Grupo JCA. Colaborando em múltiplos times para entregar insights através de dados.
Responsibilities
- Design, develop and maintain robust, scalable data pipelines (batch and streaming);
- Structure, optimize and monitor data lakes and data warehouses in cloud environments;
- Define and implement data engineering best practices, including versioning, CI/CD, observability, governance and security;
- Ensure data quality through automated tests, validations and continuous monitoring;
- Model data (dimensional, Data Vault) for consumption by analysts, data scientists and data products;
- Support BI, Analytics and Product teams in providing reliable and well-documented datasets;
- Evaluate and implement new technologies, tools and architectural patterns;
- Collaborate with IT, Engineering, Product and Business teams, promoting a data-driven culture and best practices.
Requirements
- Degree in Computer Engineering, Computer Science, Information Systems or related fields;
- Strong experience with Spark, Databricks or an equivalent distributed engine;
- Knowledge of:
- Advanced SQL;
- Advanced Python (pandas, pyspark);
- Cloud platforms (GCP, Azure or AWS);
- Orchestration: Airflow, Databricks Jobs, Workflows, n8n;
- Complex batch and streaming pipelines;
- Git, CI/CD and version control.
Benefits
- Meal or Food Allowance / Voucher: no employee contribution
- Grocery allowance (paid via benefit card)
- Home Office allowance
- Totalpass
- Transportation Voucher: 6% employee contribution
- Health plan: with co-payment
- Dental plan: with co-payment
- Life insurance
- Birthday day off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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