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Chief Data Engineer

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Thāne, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Data Architect

Description

We are seeking a talented and experienced Data Architect to design, develop and govern our data architecture and pipelines. The ideal candidate will have a strong passion for data engineering and a keen eye for detail.

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 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.
  • Evaluate data quality, integrity and security across all data platforms and pipelines.
  • Work closely with 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 enterprise systems (CRMs, ERPs) and third-party APIs.
  • Develop 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.
Requirements
  • A 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 building RESTful APIs and designing microservices for data delivery.
  • Solid understanding of data modeling fundamentals, including Kimball and Inmon methodologies.
  • Proficiency 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.
  • Prioritizing continuous learning and adapting to emerging data technologies.