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Chief Data Architect

2 weeks ago

Pune, Maharashtra, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000

Cloud Migration Strategist:

A key role in our company is to spearhead cloud migration initiatives. The ideal candidate will have a minimum of 13 years of experience in the IT industry, with a strong focus on data engineering and ETL.

The successful candidate will lead, mentor, and guide a team of data engineers and developers in the design, development, and implementation of cloud migration solutions. They will architect robust, scalable, and high-performance data pipelines for migrating on-premise data to the cloud.

  • Technical Leadership: Lead a team of data engineers and developers to design, develop, and implement cloud migration solutions.
  • Solution Architecture: Design and architect data pipelines for migrating on-premise data to the cloud.
  • Hands-on Development: Participate in the development process, writing and reviewing code, and ensuring best practices are followed.

Key Responsibilities:

  • Design and develop cloud-based data architectures.
  • Lead and mentor a team of data engineers and developers.
  • Develop and implement data transformation logic.

Required Skills and Qualifications:

  • Minimum of 13 years of experience in the IT industry, with a significant portion focused on data engineering and ETL.
  • Proven experience as a Technical Lead, managing and mentoring a team of developers.
  • Extensive hands-on experience with Datastage for ETL processes.
  • Deep expertise in Cloud Migration projects, with a strong understanding of migrating data from on-premise to cloud environments.
  • Proficiency in Azure Data Factory (ADF) for building and orchestrating data pipelines.
  • Strong experience with Databricks and its functionalities for big data processing and analytics.
  • Expertise in PySpark for developing scalable and efficient data processing applications.
  • Solid understanding of cloud platforms, preferably Microsoft Azure.
  • Experience with other data technologies and concepts like SQL, data warehousing, and dimensional modeling.
  • Excellent problem-solving, communication, and leadership skills.