Senior Data Engineer
For job seekers, BONAPOLIA offers a gateway to exciting career prospects and the chance to thrive in a fulfilling work environment. We believe that the right job can transform lives, and we are committed to making that happen for you.
We are looking for a Senior Data Engineer to join our team and lead efforts in designing, implementing, and maintaining robust data pipelines and infrastructure. This role will work closely with our data science and analytics teams to ensure data integrity and accessibility for both internal and client projects.
About the Customer
The client is the largest Google digital consulting agency in Europe, operating only in the Google cloud.
Requirements
- 5+ years of experience in data engineering or related roles
- Expertise in working with Alloy
DB and Postgre
SQL for database management and optimization - Strong proficiency in SQL and SQL scripting for data manipulation and transformation
- Experience in designing and maintaining complex data pipelines
- Knowledge of database performance tuning and query optimization techniques
- Ability to work independently and proactively in a
- paced environment - Strong
- solving skills and the ability to handle multiple projects simultaneously
Nice to Have
- Familiarity with Google Cloud Platform services such as Cloud Source, Cloud Build, and Cloud Run
- Experience with CI/CD pipelines, including tools like Git
Hub Actions and Cloud Build - Knowledge of bash scripting for automation and task execution
- Proficiency with git for version control and collaboration on codebases
- Experience working with
- scale data processing systems in cloud environments
English level
Upper-Intermediate
Responsibilities
- Design, build, and maintain efficient, reliable, and scalable data pipelines for collecting, processing, and storing large datasets
- Develop and optimize databases, ensuring performance and security, primarily using Alloy
DB and Postgre
SQL - Create complex SQL scripts and queries for data extraction, manipulation, and transformation
- Implement best practices for database design and ensure data quality and consistency
- Collaborate with data scientists and analysts to support their data infrastructure needs
- Ensure optimal performance of data systems, identifying and resolving bottlenecks
- Document processes, data workflows, and system architectures to ensure transparency and knowledge sharing
- Collaborate with the Dev
Ops team to integrate data solutions with CI/CD pipelines, ensuring smooth deployment processes
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