Chief Data Infrastructure Specialist

2 weeks ago

Delhi, Delhi, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Expert Data Architect Needed

We are seeking an experienced and skilled Data Architect to lead the design, development, and governance of our data architecture and pipelines. The ideal candidate will have expertise in multiple projects with GCP-Big Query and Data Proc technologies.

The successful individual will be a collaborative team player, organized, and able to think outside the box. They must also be passionate about making a difference through healthcare.

Key Responsibilities
  • Design and implement scalable and robust data architectures for data warehousing and enterprise data platforms.
  • Develop and optimize data pipelines and ETL/ELT/CDC (Change Data Capture) workflows using tools such as Fivetran and Cloud Composer.
  • Collaborate with data scientists, product managers, and business stakeholders to define data requirements and create logical and physical data models.
  • Manage and administer various database systems, including BigQuery, SAP HANA, and PostgreSQL.
  • Ensure data quality, integrity, and security across all data platforms and pipelines.
  • Work with our AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads.
  • Design and develop reporting frameworks and data marts to support business intelligence needs.
  • Integrate data platforms with various enterprise systems and third-party APIs.
  • Define and implement data governance, master data management, and data cataloging strategies.
  • Contribute to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing, and deployment.
  • Troubleshoot and resolve data platform issues to ensure high availability and optimal performance.
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, with a strong preference for 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.
  • Familiarity with data warehousing concepts and best practices, including CDC.
  • Strong version-control habits (Git) and experience with CI/CD pipelines.
  • Excellent problem-solving, communication, and collaboration skills.
  • Passion for continuous learning and adapting to emerging data technologies.

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