Job Summary
The GCP Data Engineer is responsible for designing and implementing scalable data architectures within Google Cloud Platform. This role requires expertise in data processing, warehousing, and analytics to support business needs and enhance data-driven decision-making.
Responsibilities
- Develop and maintain data pipelines to facilitate the flow of information across systems.
- Design and manage data models and databases to optimize data storage and retrieval.
- Implement data integration strategies and ensure data quality across platforms.
- Collaborate with data scientists and analysts to support data analytics initiatives.
- Monitor and troubleshoot data processing workflows to ensure timely delivery of data.
Qualifications
- Proficiency in Google Cloud Platform services, particularly those related to data engineering.
- Strong experience with SQL and data modeling techniques.
- Knowledge of ETL processes and tools, as well as data warehousing concepts.
- Experience with programming languages such as Python or Java for data manipulation.
- Ability to work collaboratively in a team-oriented environment while meeting project deadlines.
Mindlance provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
