Big Data Leadership Role

1 week ago

Singapore beBeeData Full time $90,000 - $120,000
Lead Data Engineer

We are seeking an experienced Lead Data Engineer to join our team. This is a unique opportunity to lead and mentor a group of talented engineers in designing and implementing scalable, efficient, and fault-tolerant data pipelines.

The successful candidate will have expertise in Scala, Python, and PySpark, as well as a strong understanding of big data technologies such as Apache Spark and Hadoop. They will also be responsible for collaborating with cross-functional teams to identify data requirements and implement data-driven solutions.

  • Key Responsibilities:
  • Design and develop large-scale data pipelines using Scala, Python, and PySpark
  • Lead and mentor a team of data engineers to build and maintain data architectures
  • Collaborate with cross-functional teams to identify data requirements and implement data-driven solutions
  • Ensure data quality, integrity, and security across all data pipelines
  • Develop and maintain technical documentation for data pipelines and architectures
  • Stay up-to-date with industry trends and emerging technologies in big data, cloud computing, and data engineering
  • Drive technical innovation and recommend new tools and technologies to improve data engineering capabilities

Requirements:

  • 5+ years of experience in big data engineering, with expertise in Scala, Python, and PySpark
  • Strong experience with big data technologies such as Apache Spark, Hadoop, and Kafka
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure
  • Strong understanding of data architecture, data governance, and data security
  • Excellent leadership and mentoring skills, with experience leading high-performing teams
  • Strong communication and collaboration skills, with ability to work with cross-functional teams
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Mentoring Technical Documentation PySpark Apache Spark Scala Azure Big Data Cloud Computing Pipelines Hadoop Data Quality Data Governance Data Engineering Python Data Architecture GCP

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