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.
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.