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Senior Data Engineer | Asahi

Posted about 1 month agoViewed

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💎 Seniority level: Senior

🔍 Industry: Retail

🏢 Company: GT👥 101-250Information and Communications Technology (ICT)Product ManagementInformation Technology

🗣️ Languages: English

Requirements:
  • Proven expertise in Databricks, including hands-on experience with best practices for cluster management, performance optimization, and scalable data solutions.
  • Recent hands-on experience in data engineering, coupled with readiness to step into a management and oversight role.
  • Strong knowledge of CI/CD pipelines and DataOps best practices.
  • Solid understanding of Azure Data Factory, Synapse, Databricks, and PySpark.
  • Experience in the CPG or Retail industries, with knowledge of their data requirements and KPIs.
Responsibilities:
  • Oversee the work of System Integrators (SIs), ensuring deliverables are clean, efficient, and adhere to best practices.
  • Proactively hold SIs accountable for maintaining high standards, addressing issues, and ensuring data management is efficient and cost-effective.
  • Provide expert guidance on cluster management and data pipeline best practices, ensuring performance and scalability.
  • Identify and address inefficiencies in data storage to avoid excessive costs and long-term technical debt.
  • Act as an influencer within the team, promoting a culture of accountability, excellence, and collaboration.
  • Design, implement, and optimize data pipelines and workflows, leveraging Databricks and the Microsoft Azure stack.
  • Ensure robust data governance, including cleanup processes to avoid build-up of redundant or costly data.
  • Stay hands-on with data engineering to bring practical insights, while stepping into a management role to guide the team and SIs.
  • Collaborate with data architects, analysts, and business stakeholders to align data engineering solutions with business needs.
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