Infosys

Data Architect

Infosys

full-time

Posted on:

Origin:  • 🇸🇬 Singapore

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformHadoopKafkaPySparkSpark

About the role

  • Design and implement high-performance, scalable, and secure data architectures.
  • Work with business stakeholders to understand their data needs and translate them into technical requirements.
  • Design and develop data pipelines and workflows using ELT principles and PySpark/Hadoop
  • Optimize data pipelines and workflows for performance and efficiency
  • Work with data scientists and engineers to ensure that data is accessible and usable for analytics and machine learning
  • Implement data governance and security best practices
  • Manage and mentor data engineers
  • Contribute to the overall data engineering strategy and roadmap

Requirements

  • 12-15 years of experience in data engineering, with a focus on ELT and PySpark/Hadoop workloads
  • Strong experience in designing and implementing high-performance, scalable, and secure data architectures.
  • Experience with data governance and security best practices
  • Experience in managing and mentoring data engineers
  • Excellent communication and interpersonal skills
  • Ability to work independently and as part of a team
  • Strong problem-solving and analytical skills
  • Experience with cloud computing platforms such as AWS, Azure, or GCP
  • Experience with big data technologies such as Spark, Hadoop, Hive, and Kafka
  • Experience with data warehousing and data lakes
  • Experience with DevOps and MLOps practices
  • Experience with data science and machine learning, streaming data processing
  • Experience with real-time analytics, data visualization and reporting tools
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