Chief Data Architect

2 weeks ago

Gandhinagar, Gujarat, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,30,00,000
Job Title: Data Engineer

 

About People Prime Worldwide :

People Prime Worldwide is a global innovator of IT and business services, helping clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. We enable our clients, as well as society, to move confidently into the digital future, committed to their long-term success.

We serve clients in over 50 countries around the globe, combining global reach with local client attention.

Key Responsibilities:
  • Design and Implement Data Solutions: Develop tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
  • Provide Thought Leadership: Recommend the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
  • Coding Skills: Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
  • Technical Collaboration: Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
  • Communication: Develop and deliver detailed presentations to effectively communicate complex technical concepts.
  • Documentation: Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
  • Agile Practices: Adhere to Agile practices throughout the solution development process.
  • Database Management: Design, build, and deploy databases and data stores to support organizational requirements.

Basic Qualifications:

  • 7+ years' experience with Azure, Snowflake, Databricks, and Python
  • At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python

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