Solutions Architect- Data Engineer and Analytics

Solution 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 entityrelationship 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 datadriven insights to stakeholders.
  
• ProblemSolving and Performance Optimization:
  
• Strong analytical and problemsolving skills to address complex datarelated issues.
  
• Experience in optimizing data workflows queries and algorithms for performance and costefficiency.
  

Managerial and Soft Skills

• Project Management:
  
• Experience in leading and managing largescale data projects.
  
• Familiarity with project management tools and methodologies (e.g. Agile Scrum).
  
• Communication and Leadership:
  
• Excellent communication skills to articulate technical concepts to nontechnical stakeholders.
  
• Leadership skills to guide and mentor teams.
  
• Collaboration and Teamwork:
  
• Ability to work collaboratively with crossfunctional teams.
  
• Experience in working in a global multicultural 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.