Data Engineer at Vibra Energia responsible for designing and maintaining data pipelines. Collaborating with teams to ensure data integrity and quality while leveraging cloud technologies.
Responsibilities
Design, build and maintain robust, scalable data pipelines for ingestion, processing, and transformation of large volumes of data.
Develop and optimize data models for analytical systems.
Implement and manage storage solutions, including data lakes and data warehouses, in cloud environments.
Ensure data integrity, quality, and governance by applying best practices in data management, security, and FinOps.
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
Monitor and optimize the performance of pipelines, databases, and integration solutions.
Drive data architecture modernization initiatives using cutting-edge technologies and modern frameworks.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related fields; or a postgraduate degree in a related area.
Proven experience with data visualization platforms (Tableau, Power BI and/or Looker).
Experience with GCP and its services, including BigQuery, Cloud Composer/Apache Airflow, Dataflow, Pub/Sub, Cloud Run, Cloud Functions, KMS, and Secret Manager.
Databases: Knowledge of data modeling, relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
ETL/ELT: Experience building ETL/ELT pipelines for data ingestion and transformation.
Preferred Qualifications
Cloud computing experience.
Experience with Azure and services such as Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.
Programming languages: Proficiency in Python and PySpark (for scripting and automation) and SQL (for data manipulation and querying).
Data Lakes: Knowledge of Data Lake architectures, storage, and data optimization (e.g., Delta Lake).
DevOps: Experience with CI/CD pipelines and DataOps practices for automating deployments and monitoring data workflows.
Security and Governance: Understanding of cloud security practices, data encryption, and implementation of governance policies.
Data Orchestration: Use of tools such as Azure Data Factory, Azure Synapse, and/or Airflow/Cloud Composer for data integration and movement.
Performance and Optimization: Experience with techniques to improve the performance of data pipelines and queries in distributed and non-distributed environments.
APIs: Knowledge of extracting data via RESTful APIs.
Benefits
Health and Dental Plan – Bradesco – coverage extendable to dependents.
PAE – Financial assistance offered for dependent children and/or stepchildren with intellectual disabilities.
Pharmacy Discount Program – discounts of up to 85%.
Supplementary Pension – FlexPrev Plan – contributions ranging from 1% to 11%, depending on salary.
Life Insurance – coverage for all employees from the date of hire, at no cost to the employee.
Extended Leave – Maternity (up to 180 days) and Paternity (up to 20 days).
Meal and/or Food Allowance – Caju Benefits.
Education Assistance – for dependents up to high school.
TotalPass.
Solar Subscription – possibility to receive a special discount on the electricity bill by subscribing to a distributed generation plan.
Corporate Smiles Club – discounts of up to 50% on travel plans. Available also for spouse and children aged 18+.
Length-of-Service Bonus – employees receive a salary supplement (based on time with the company) paid at the time of vacation.
Learning Platform – "Vibra values" learning path and a curated catalog with over 200 courses available on-demand.
Internal Recruitment – job openings are advertised across Brazil, encouraging internal mobility.
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