Chief Data Infrastructure Specialist

2 days ago

Hyderabad, Telangana, India beBeeDataInfrastructure Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Title: Chief Data Infrastructure Specialist

Job Summary:

We are seeking a seasoned data infrastructure professional to lead the design and implementation of our data architecture and pipelines.

The ideal candidate will have experience working with large-scale analytical workloads, data warehousing, and enterprise data platforms.

Data Architecture: Develop and implement scalable and robust data architectures for data warehousing and enterprise data platforms.

Data Pipelines: Design and optimize data pipelines using tools such as Fivetran and Cloud Composer.

Data Governance: Collaborate with data scientists, product managers, and stakeholders 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.

Quality and Security: Ensure data quality, integrity, and security across all data platforms and pipelines.

Ai/ml Support: Work with AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads.

Reporting Frameworks: Design and develop reporting frameworks and data marts to support business intelligence needs.

Integration: Integrate data platforms with various enterprise systems (CRMs, ERPs) and third-party APIs.

Data Governance Strategies: Define and implement data governance, master data management, and data cataloging strategies.

Troubleshooting: 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.

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.
  • Vertex AI for AI/ML model serving and feature stores.
  • Experience with other cloud providers (AWS, Azure) and their data services.
  • Working knowledge of data governance frameworks, master data management, and data cataloging tools.
  • Experience with data ingestion tools like Fivetran.
  • Business-intelligence expertise in building dashboards and reports with Power BI or Tableau.
  • Familiarity with other data technologies such as SAP HANA.
  • Understanding of MLOps concepts and their application to data pipelines.
  • Contributions to open-source data projects or technical blogging/presentation

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