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Data Engineer, Tools

Annapurna Labs is part of AWS, developing semiconductor platforms with revolutionary architecture for cloud services.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

Description For Data Engineer, Tools

AWS Utility Computing (UC) is seeking a Data Engineer to join their team at Annapurna Labs. This role is crucial in developing semiconductor platforms and data infrastructure that powers AWS services. As a Data Engineer, you'll be responsible for designing and optimizing data pipelines, ensuring data quality, and delivering high-quality data solutions.

You'll work within the System Software team, developing infrastructure for data collection, visualization (dashboards, graphs), alarming, and automatic actions. These tools are essential across all stages of product development - from design through validation, manufacturing, testing, and monitoring in production and data centers.

The position offers the opportunity to work with cutting-edge AWS technologies and collaborate across multiple teams within AWS. You'll be part of the team that supports foundational services like Amazon S3 and EC2, while also contributing to new product innovations that differentiate AWS in the industry.

The role combines technical expertise in data engineering with the chance to work on revolutionary semiconductor architecture. You'll be expected to stay current with industry trends and best practices while mentoring junior engineers. This position is ideal for someone who wants to impact cloud infrastructure at scale while working with advanced hardware and software systems.

AWS values diverse experiences and maintains an inclusive team culture. The company offers various employee-led affinity groups and ongoing learning experiences. Work-life harmony is emphasized, with flexible work arrangements available. As part of Amazon's commitment to being Earth's Best Employer, you'll find extensive opportunities for knowledge-sharing, mentorship, and career advancement.

Last updated a day ago

Responsibilities For Data Engineer, Tools

  • Design, develop, and maintain scalable data pipelines
  • Collaborate with HW and SW Engineers to understand data needs
  • Implement data integration and transformation processes using AWS services
  • Ensure data quality, integrity, and security
  • Optimize data storage and retrieval processes
  • Develop and manage ETL processes
  • Create and maintain technical documentation
  • Monitor and troubleshoot data pipeline issues
  • Mentor and guide junior data engineers

Requirements For Data Engineer, Tools

Python
Java
  • 5+ years of data engineering experience
  • Familiarity with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda
  • Experience in Python, Java, Scala, or NodeJS
  • Experience building data products and managing data sets from multiple sources
  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent

Benefits For Data Engineer, Tools

Medical Insurance
Parental Leave
  • Flexible work hours
  • Career development opportunities
  • Mentorship programs
  • Medical Insurance
  • Parental Leave

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