Overview
The GCP Data Engineer plays a pivotal role in an organization by designing developing and managing data processing systems on Google Cloud Platform. This role focuses on ensuring data is timely reliable and in a format suitable for analytics and decisionmaking. By leveraging GCP services such as BigQuery Cloud Storage and Pub/Sub the Data Engineer transforms raw data into insightful information facilitating datadriven strategies. Additionally the GCP Data Engineer collaborates with data scientists analysts and IT teams to create data pipelines that enhance business operations improve workflow efficiencies and support analytics initiatives. As data continues to be a crucial asset for organizations the GCP Data Engineers expertise in cloud technologies and data processes remains vital for driving business growth and innovation.
Key Responsibilities
- Design and implement scalable data pipelines using GCP services.
- Develop and optimize ETL processes for data extraction transformation and loading.
- Create data models that support analytical solutions and ensure data integrity.
- Collaborate with data scientists and analysts to understand data requirements.
- Monitor and maintain data pipelines for performance and reliability.
- Perform data validation and reconciliation to ensure accuracy.
- Integrate various data formats and sources for analytics purposes.
- Establish and enforce data management policies and best practices.
- Conduct performance tuning of BigQuery and other GCP services.
- Work with stakeholders to identify new data sources and requirements.
- Implement security measures to protect sensitive data within the cloud environment.
- Prepare documentation for data architecture data pipelines and other technical processes.
- Assist in troubleshooting datarelated issues and provide solutions.
- Stay uptodate with GCP advancements and data engineering trends.
- Participate in code reviews and provide mentorship to junior data engineers.
Required Qualifications
- Bachelors degree in Computer Science Information Technology or related field.
- At least 6 years of experience in data engineering or related roles.
- Proven experience working with Google Cloud Platform specifically BigQuery and Dataflow.
- Strong programming skills in Python and SQL.
- Handson experience with data modeling and database design.
- Familiarity with ETL tools and methodologies.
- Experience in designing data warehouses and data lakes.
- Knowledge of distributed computing concepts and frameworks.
- Understanding of data governance and security best practices.
- Excellent analytical and problemsolving abilities.
- Strong communication and collaboration skills.
- Experience with version control systems such as Git.
- Ability to work effectively in a fastpaced environment.
- Willingness to learn and adapt to new technologies.
- Certifications in Google Cloud or data engineering are a plus.
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