Data Engineering
1 month ago
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Job Summary:
We are seeking a highly skilled Senior Google BigQuery Data Engineer to lead the design, development, and optimization of our data platform. The ideal candidate will have a deep understanding of BigQuery's architecture, capabilities, and best practices, including columnar storage, nested and repeated fields, and separation of compute and storage. A proven track record of delivering complex data warehousing solutions on the Google Cloud Platform (GCP) is essential.
Responsibilities:
- Architect, design, and implement scalable data solutions leveraging Google BigQuery as the core data warehouse platform, utilizing features such as partitioning, clustering, and materialized views for optimal performance.- Develop and optimize complex SQL queries and data pipelines using BigQuery for efficient data ingestion, transformation, and loading, including leveraging batch and streaming ingestion methods.- Utilize BigQuery ML or integrate with other GCP ML services to build predictive models and derive insights from data.- Implement data governance and security best practices within the BigQuery environment, including data encryption, access controls, and auditing.- Collaborate with data analysts and business stakeholders to understand data requirements and translate them into BigQuery-based solutions, considering factors like data volume, query complexity, and latency.- Mentor and guide junior data engineers in BigQuery best practices, including query optimization, performance tuning, and data modeling techniques.- Lead data warehousing projects focused on BigQuery implementation and optimization, considering cost-efficiency, scalability, and maintainability.
Qualifications:
- 4-6 years of experience in data warehousing and business intelligence.- In-depth expertise in Google BigQuery, including advanced query optimization, performance tuning, and data modeling techniques.- Strong SQL skills and proficiency in Python or other scripting languages for data processing.- Proven experience in designing and implementing BigQuery data models and schemas, considering normalization, denormalization, and data partitioning strategies.- Hands-on experience with BigQuery data ingestion and extraction methods, including batch loading, streaming ingestion, and external tables.- Knowledge of other GCP services relevant to data engineering (e.g., Dataflow, Cloud Storage, Looker) and their integration with BigQuery.- Strong problem-solving, analytical, and communication skills.- Ability to work independently and collaboratively in a fast-paced environment.- Preferred: Google Cloud certifications (e.g., Certified Data Engineer) and experience with machine learning or data science.
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