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A company is seeking a Data Engineer to design, develop, and maintain data pipelines and architectures. This role involves contributing to all phases of the data engineering lifecycle, ensuring scalability, reliability, and performance. The Data Engineer will demonstrate technical leadership by solving complex problems, mentoring junior engineers, and actively improving data engineering practices.

Role Involves:

  • Designing and implementing scalable data pipelines.
  • Collaborating with stakeholders to gather requirements.
  • Developing and optimizing ETL processes.
  • Creating and maintaining data models.
  • Building and managing cloud-based data architectures.
  • Implementing monitoring and alerting systems.
  • Contributing to data governance initiatives.
  • Utilizing advanced data processing frameworks.
  • Maintaining and enhancing CI/CD pipelines.
  • Performing code reviews.
  • Documenting processes and architectures.
  • Mentoring junior engineers.
  • Identifying opportunities for process optimization.
  • Collaborating with cross-functional teams.
  • Promoting an autonomous work culture.
  • Serving as a Spin Culture Ambassador.

Requirements:

  • Minimum 3-4 years of experience as a Data Engineer.
  • In-depth understanding of data engineering concepts and ETL processes.
  • Advanced proficiency in Python and related libraries/frameworks.
  • Strong knowledge of SQL and NoSQL databases.
  • Advanced understanding of data modeling concepts.
  • Proficient in various data processing methods.
  • Extensive experience with data processing frameworks like Apache Spark, Kafka, and Flink.
  • Advanced knowledge of file processing concepts.
  • Strong understanding of data governance principles.
  • Comprehensive understanding of the data engineering lifecycle.
  • Experience with CI/CD pipelines and automation.
  • Advanced understanding of data architectures.
  • Proficient with version control systems.
  • Advanced understanding of data visualization tools and reporting techniques.
  • Strong understanding of cloud computing in AWS and GCP stacks.
  • Experience with Infrastructure as Code (IaC) tools.
  • Proven experience leading projects with OKRs.
  • Ability to mentor and guide junior data engineers.
  • Strong communication skills.
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