Chief Data Visionary

3 days ago

Aligarh, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 19,99,999

Job Opportunity:

We are seeking an innovative and visionary Data Architect to design, develop, and implement scalable data architectures for data warehousing and enterprise data platforms.

The ideal candidate will possess a strong passion for making a difference through data-driven solutions and have experience with GCP-Big Query, Data Proc technologies.

Key Responsibilities
  • Designing Data Architecture: Develop and implement robust data architectures for data warehousing and enterprise data platforms.
  • Developing Data Pipelines: Create and optimize data pipelines using tools such as Fivetran and Cloud Composer.
  • Collaboration and Communication: Collaborate with cross-functional teams to define data requirements and create logical and physical data models.
  • Database Administration: Manage and administer various database systems, including BigQuery, SAP HANA, and PostgreSQL.
  • Data Quality and Security: Ensure data quality, integrity, and security across all data platforms and pipelines.
  • Integration and Governance: Work with AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads. Define and implement data governance strategies.
Requirements
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
  • Proficiency in one or more backend languages/frameworks, preferably Python or Go.
  • Experience with building RESTful APIs and designing microservices for data delivery.
  • Solid grasp of data modeling fundamentals, including Kimball and Inmon methodologies.
  • Proficiency in writing complex SQL queries and experience with SQL and NoSQL databases.
Preferred Qualifications
  • Hands-on experience designing and deploying production-grade data warehouses.
  • Deep experience with Google Cloud Platform (GCP): BigQuery for large-scale analytical workloads, Cloud Composer for orchestrating complex data pipelines, and Vertex AI for AI/ML model serving and feature stores.
  • Experience with other cloud providers (AWS, Azure) and their data services.

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