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  • Posted 8 days ago
  • Over 50 applicants have applied

Job Description

Responsibilities include:

  • Lead data platforms, engineering, product ownership, and architecture teams to drive business growth through next-generation capabilities.
  • Foster innovation and thought leadership by adapting to industry trends, leveraging data for high-value product creation.
  • Collaborate with business leaders, effectively communicating the value of data-driven solutions across diverse domains.
  • Develop advanced data analytics, utilizing cutting-edge technology to support various business functions.
  • Cultivate strong partnerships with internal and external stakeholders, alongside fellow analytics professionals.
  • Design, establish, and maintain cost-effective data platforms and solutions while prioritizing return on investment and talent growth for high performance.

Primary Skills :

  • Azure , AWS, GCP cloud data engineering
  • Cloud-based databases (Synapse, Databricks, ,Atacama (MDM), Snowflake, Redshift)
  • Data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python.
  • Implementing data products through data mesh / fabric concepts
  • Data modeling
  • ETL development
  • Database management
  • Managing teams budgets, portfolios and driving value.
  • Ability to define and implement prototypes and MVPs / RATs

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