This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Administrador Banco Dados Sr based in Brazil.
This role is designed for an experienced data professional who will support the management, automation, and optimization of enterprise data environments.
You will contribute to building reliable data solutions by working with ETL processes, analytical data structures, and modern data engineering practices.
The position combines technical expertise with problem-solving skills to improve data workflows and support business decision-making.
You will collaborate with technical and non-technical teams, helping transform complex data challenges into scalable solutions.
The ideal candidate enjoys working with Python, cloud-native technologies, and data platforms while continuously improving operational efficiency.
This is an opportunity to contribute to innovative technology initiatives within a collaborative and growth-oriented environment.
Accountabilities:
The role is responsible for designing, maintaining, and improving data solutions while ensuring reliability, scalability, and alignment with business needs. The professional will work across data engineering activities, automation, and platform improvements, collaborating with multiple stakeholders to deliver efficient data-driven outcomes.
- Develop and maintain ETL processes to extract, transform, and load data efficiently across analytical environments.
- Work with data warehouse, data mart, and other analytical data structures to ensure data availability and quality.
- Use Python for development, automation, and data processing activities.
- Support the implementation and maintenance of containerized environments using technologies such as Kubernetes or OpenShift.
- Collaborate with technical teams and business stakeholders to analyze requirements and solve complex data-related challenges.
- Apply best practices for version control, code management, and collaboration using Git and GitLab.
- Contribute to improvements involving data pipelines, automation workflows, and modern data engineering practices.
- Support the adoption of advanced data tools and frameworks to improve performance and operational efficiency.
Requirements:
The ideal candidate should have strong foundations in data engineering, programming, and analytical problem-solving, with the ability to collaborate effectively across different teams and translate technical concepts into practical solutions.
- Bachelorβs degree in Information Technology, Computer Science, or a related field, or a postgraduate qualification in an IT-related area.
- Experience with ETL concepts and data processing workflows.
- Familiarity with analytical data structures such as data warehouses and data marts.
- Knowledge of Python for software development, automation, and data processing.
- Basic knowledge of container technologies and orchestration platforms such as Kubernetes or OpenShift.
- Basic experience with Git and GitLab workflows.
- Strong analytical skills with the ability to troubleshoot and resolve technical issues.
- Good communication skills and the ability to collaborate with both technical and non-technical teams.
- Advanced knowledge of Python data libraries such as Pandas, PyArrow, PySpark, Polars, DuckDB, SQLAlchemy, or similar tools is a plus.
- Experience with Apache data ecosystem technologies such as Airflow, Spark, Flink, Kafka, Parquet, or Iceberg is desirable.
- Basic knowledge of Linux, Jenkins, Tekton, GitOps practices, and deployment tools such as ArgoCD is an advantage.
Benefits:
- Meal allowance or food voucher.
- Health insurance coverage.
- Dental insurance.
- Access to online learning platforms with free courses, certifications, and professional development resources.
- Discounts on courses, universities, and language institutions.
- Mentoring opportunities to support career growth.
- Access to healthcare consultation and examination benefits.
- Exclusive discounts and partnerships with various establishments.
- Travel benefits and discounts.
- Pet care partnership benefits.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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