Lumenalta ยท 8 hours ago
Solutions Architect - BigQuery/GCP
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Responsibilities
Data Pipeline Development: Design and build ETL/ELT data pipelines using BigQuery and other GCP services to ingest, process, and transform large datasets from multiple sources.
Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs in BigQuery.
Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate seamlessly with BI tools, machine learning models, and third-party applications.
Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access on GCP.
Automation & Monitoring: Automate workflows using Cloud Composer, Cloud Functions, or other orchestration tools to ensure reliable and scalable data pipelines.
Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers.
Qualification
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Required
10+ years of experience working as a Data Engineer, with a focus on GCP and BigQuery.
Strong proficiency in SQL and experience in developing complex queries, stored procedures, and views in BigQuery.
Hands-on experience with GCP services such as Cloud Storage, Dataflow, Cloud Composer, and Cloud Functions.
Deep understanding of data warehousing concepts, dimensional modeling, and building data marts.
Experience with ETL/ELT tools like Apache Beam, Dataflow, or dbt.
Familiarity with scripting languages like Bash, Python or JavaScript for automation and integration.
Proven track record managing teams and projects.
Ability to design and implement scalable, reliable, and cost-effective BigQuery solutions tailored to specific business use cases.
Experience creating reference architectures, data pipelines, and best practice guides.
Ability to translate complex technical concepts into business terms.
Proven experience working with both technical and non-technical stakeholders to define requirements and deliver high-quality solutions.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
GCP Professional Data Engineer Certification is a plus.
Preferred
Experience with machine learning on GCP using Vertex AI or AI Platform.
Knowledge of data governance and security best practices in a cloud environment.
Experience working with real-time streaming data and tools like Pub/Sub or Kafka.
Company
Lumenalta
Lumenalta is a software and app development company that creates unique digital transformation solutions using innovative technology.
Funding
Current Stage
Late StageRecent News
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