SquareShift
Solutions Architect- Data Engineer and Analytics
SquareShift, Dublin, California, United States, 94568
Job DescriptionSolution Architect : Data Engineering and Analytics
Technical Expertise
Data Architecture & Design:Proven experience designing scalable, secure, and performant data architectures for big data and analytics workloads.Expertise in data modeling techniques (dimensional, entity-relationship, etc.)Knowledge of data governance frameworks and data quality best practices.Cloud Platform Proficiency (GCP Focus):Extensive experience with GCP services for data engineering and analytics (BigQuery, Dataflow, Dataproc, Pub/Sub, etc.).Ability to design and implement cloud architecture for data processing and analytics at scale.Understanding of cloud security best practices and compliance requirements.Data Engineering & Integration:Strong understanding of data pipelines, ETL/ELT processes, and data transformation techniques.Proficiency in programming languages like Python, Java, or Scala.Experience with data orchestration tools (Airflow, Luigi) and containerization technologies (Docker, Kubernetes).Programming and Scripting:Strong skills in programming languages like Python, Java, or Scala.Ability to write, analyze, and debug SQL queries.Data Analytics and Visualization:Working knowledge of data analysis tools and platforms.Proficiency in data visualization tools and techniques to present data insights effectively.Machine Learning and AI (Optional):Knowledge of machine learning algorithms and their application in data analytics.Familiarity with AI and ML services on GCP (AI Platform, AutoML, etc.).Analytical Skills
Data Strategy and Business Intelligence:Ability to develop strategies for data collection, analysis, and dissemination.Experience in delivering business intelligence and data-driven insights to stakeholders.Problem-Solving and Performance Optimization:Strong analytical and problem-solving skills to address complex data-related issues.Experience in optimizing data workflows, queries, and algorithms for performance and cost-efficiency.Managerial and Soft Skills
Project Management:Experience in leading and managing large-scale data projects.Familiarity with project management tools and methodologies (e.g., Agile, Scrum).Communication and Leadership:Excellent communication skills to articulate technical concepts to non-technical stakeholders.Leadership skills to guide and mentor teams.Collaboration and Teamwork:Ability to work collaboratively with cross-functional teams.Experience in working in a global, multi-cultural environment.Continuous Learning and Adaptation:Commitment to continuous learning and staying updated with the latest trends in technology, data engineering, and analytics.Ability to adapt to evolving business and technology landscapes.Requirements
Additional Considerations (Optional):
Experience with data visualization tools (Tableau, Power BI).Familiarity with data security and privacy regulations (GDPR, HIPAA).Experience in a specific industry vertical relevant to your organization.
Technical Expertise
Data Architecture & Design:Proven experience designing scalable, secure, and performant data architectures for big data and analytics workloads.Expertise in data modeling techniques (dimensional, entity-relationship, etc.)Knowledge of data governance frameworks and data quality best practices.Cloud Platform Proficiency (GCP Focus):Extensive experience with GCP services for data engineering and analytics (BigQuery, Dataflow, Dataproc, Pub/Sub, etc.).Ability to design and implement cloud architecture for data processing and analytics at scale.Understanding of cloud security best practices and compliance requirements.Data Engineering & Integration:Strong understanding of data pipelines, ETL/ELT processes, and data transformation techniques.Proficiency in programming languages like Python, Java, or Scala.Experience with data orchestration tools (Airflow, Luigi) and containerization technologies (Docker, Kubernetes).Programming and Scripting:Strong skills in programming languages like Python, Java, or Scala.Ability to write, analyze, and debug SQL queries.Data Analytics and Visualization:Working knowledge of data analysis tools and platforms.Proficiency in data visualization tools and techniques to present data insights effectively.Machine Learning and AI (Optional):Knowledge of machine learning algorithms and their application in data analytics.Familiarity with AI and ML services on GCP (AI Platform, AutoML, etc.).Analytical Skills
Data Strategy and Business Intelligence:Ability to develop strategies for data collection, analysis, and dissemination.Experience in delivering business intelligence and data-driven insights to stakeholders.Problem-Solving and Performance Optimization:Strong analytical and problem-solving skills to address complex data-related issues.Experience in optimizing data workflows, queries, and algorithms for performance and cost-efficiency.Managerial and Soft Skills
Project Management:Experience in leading and managing large-scale data projects.Familiarity with project management tools and methodologies (e.g., Agile, Scrum).Communication and Leadership:Excellent communication skills to articulate technical concepts to non-technical stakeholders.Leadership skills to guide and mentor teams.Collaboration and Teamwork:Ability to work collaboratively with cross-functional teams.Experience in working in a global, multi-cultural environment.Continuous Learning and Adaptation:Commitment to continuous learning and staying updated with the latest trends in technology, data engineering, and analytics.Ability to adapt to evolving business and technology landscapes.Requirements
Additional Considerations (Optional):
Experience with data visualization tools (Tableau, Power BI).Familiarity with data security and privacy regulations (GDPR, HIPAA).Experience in a specific industry vertical relevant to your organization.