Solutions Architect- Data Engineer and Analytics

2 weeks ago


Dublin, United States SquareShift Full time
Job Description
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, 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.

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