Extensive experience with Google Cloud Platform (GCP) services, including BigQuery, Dataform, Cloud Storage, Cloud Functions, Cloud Composer, Dataflow, and Pub/Sub
In depth understanding of SQL, including the optimization of queries and data transformations
Comfortable with Javascript and Python programming languages
Excellent communication and collaboration skills
Solid understanding of data warehouse, data modeling and data design concepts
Experience with ELT processes and data transformation techniques
Experience with version control systems (e.g., Git)
Strong analytical and problem-solving skills as well as the ability to decompose complex problems
Proven track record of managing workloads to consistently meet project deadlines
Responsibilities:
Develop scalable and efficient data architectures to support enterprise applications, analytics, and reporting.
Design, develop, and maintain efficient and scalable ELT pipelines on the Google Cloud Platform
Partner with business stakeholders to understand their business needs and data requirements, and translate those needs into clear, actionable technical solutions that directly address business needs.
Create and maintain detailed documentation, including architecture diagrams, standards, and models.
Ensure data security, integrity, and availability across the organization.
Manage, maintain and develop custom built ELT pipelines for systems unsupported by the organizations integration platform
Manage, maintain and optimize the data infrastructure on the Google Cloud Platform
Implement and manage data validation and quality check to ensure accuracy, consistency and completeness of data across pipelines.
Set up and manage monitoring and alerting for data pipelines and infrastructure to proactively identify failures and performance issues.