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Chief Data Infrastructure Specialist

2 weeks ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Engineer Position Overview

The role involves designing, developing, and enhancing data models and architectures.

Key Responsibilities:
  • Perform technical aspects of data architecture, including data pipeline development, new database structures, and API implementation.
  • Translate logical data architectures into physical designs, ensuring alignment with data modeling best practices and standards.
  • Ensure proper data ingestion, validation, testing, and monitoring for the data lake.
  • Support database and data platform administration for initiatives building, enhancing, or maintaining databases, data warehouses, and data pipelines.
  • Design and support migration to a data model independent of the particular technologies or tools used for storing, processing, or accessing the data.
Requirements:
  1. 8+ years of DataOps engineering experience in implementing pipeline orchestration, data quality monitoring, governance, security processes, and self-service data access.
  2. Experience managing databases, ETL/ELT pipelines, data lake architectures, and real-time processing.
  3. Proficiency in API development and stream processing frameworks.
  4. Hands-on coding experience in Python.
  5. Hands-on expertise with design and development across one or more database management systems (e.g., SQL Server, PostgreSQL, Oracle).
  6. Ability to test, troubleshoot, and debug data processes.
  7. Strong analytical skills with a proven ability to understand and document business data requirements in complete, accurate, extensible, and flexible logical data models.
  8. Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses, and batch processing systems.
  9. Fluent in data risk, management, and compliance terminology and best practices.
  10. Proven track record for managing large, complex ecosystems with multiple stakeholders.
  11. A self-starter who can problem-solve effectively, organize and document processes, and prioritize features with limited guidance.
  12. An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape.
  13. Excellent influential and collaboration skills, able to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication.
  14. Understanding of complex software delivery, including build, test, deployment, and operations, conversant in AI, Data Science, and Business Intelligence concepts and technology stack.
  15. Foundational Public Cloud certification.
Preferred Qualifications:
  • Advanced Public Cloud certifications.
  • Experience working in technology business management, technology infrastructure, or data visualization teams.
  • Experience with design and coding across multiple platforms and languages.