Solutions Architect- Data Engineer and Analytics

3 weeks ago


Delhi, India SquareShift Technologies Full time
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.

RequirementsAdditional 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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