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Senior Data Engineer

fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Armenia, Turkey, Republic of Lithuania, Georgia (country), Hungary, Bulgaria, Poland, Romania, Uzbekistan, Kazakhstan, Portugal, Spain

Offer summary

Qualifications:

5+ years of experience in data engineering, Expertise in AlloyDB and PostgreSQL, Strong proficiency in SQL scripting, Experienced in designing complex data pipelines, Knowledge of database performance tuning.

Key responsabilities:

Design and maintain efficient data pipelines
Develop and optimize databases for security
Create complex SQL scripts for data manipulation
Collaborate with teams to support data needs
Document processes and workflows for transparency

Bonapolia Scaleup https://www.bonapolia.com/

11 - 50 Employees

See more Bonapolia offers

Job description

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 AlloyDB and PostgreSQL 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 fast-paced environment
Strong problem-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 GitHub 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 large-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 AlloyDB and PostgreSQL
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 DevOps team to integrate data solutions with CI/CD pipelines, ensuring smooth deployment processes