Ingeniosi is a talented company that hires it professionals for strategic positions. We are looking for your skills for a vacancy in a banking institution.
profile:
* intermediate english level
* 2 years of banking experience
* hybrid schema (3 days per week in offices)
* 7+ years of experience in data engineering, with at least 3 years focused on building data solutions in google cloud platform (gcp).
* proven expertise in designing and implementing data pipelines using gcp tools such as bigquery, dataflow, dataproc, pub/sub, and cloud composer.
* 2+ years of experience leading or mentoring a team of engineers, with a track record of successful project delivery.
* strong proficiency in programming languages such as python, java, or scala, and sql for data processing.
* hands-on experience with data modeling, schema design, and data warehousing concepts.
* familiarity with ci/cd pipelines, version control (e.g., git), and infrastructure as code (e.g., terraform) is preferred.
* knowledge of data governance, security practices, and compliance standards (e.g., gdpr, ccpa) in cloud environments.
* excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
* creat another job description for a data engineer (the position reporting to the senior data eng)
* purpose
the senior data engineer will lead the design, development, and maintenance of scalable data products and pipelines on google cloud platform (gcp). This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure. The senior data engineer will oversee a growing team with regional responsibilities, providing technical guidance and ensuring high-quality delivery of data solutions that support business objectives.
1. accountability
2. design, build, and optimize data pipelines and architectures on gcp to support data products, ensuring scalability, reliability, and performance.
3. lead a team of up to three data engineers, providing mentorship, technical direction, and performance feedback.
4. collaborate with cross-functional teams (e.g., data scientists, product managers, and software engineers) to understand requirements and deliver data products that align with business goals.
5. implement best practices for data governance, security, and compliance within gcp environments.
6. monitor and maintain data infrastructure, ensuring high availability, data quality, and efficient processing.
7. drive the adoption of modern data engineering tools and methodologies, including etl/elt processes, data modeling, and orchestration.
8. troubleshoot and resolve complex data pipeline issues, ensuring minimal downtime and optimal performance.
9. contribute to the evaluation and integration of new gcp services and third-party tools to enhance data capabilities.
10.
1. required education and experience
11. education: bachelors degree in computer science, data engineering, information systems, or a related field. A masters degree is a plus.
we offer you:
law benefits
food coupons
minor medical expenses insurance
life insurance