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Data Engineer, Network Capacity Services

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Amazon

13d ago

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Dublin
    Remote

AI generated summary

  • You need experience in data engineering, data modeling, ETL pipelines, AWS technologies (Redshift, S3, etc.), distributed systems, and non-relational databases/storage.
  • You will build infrastructure for data-driven network planning, manage data extraction and transformation, explore new technologies, and collaborate with teams to enhance reporting and analysis practices.

Requirements

  • Experience in data engineering
  • Experience with data modeling, warehousing and building ETL pipelines
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Responsibilities

  • Be part of a high-bar, agile team with global responsibility and build infrastructure to enable data-driven network planning.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies.
  • Explore and learn the latest technologies to provide new capabilities and increased efficiency.
  • Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognise and help adopt best practices in reporting and analysis and help users make the most out of the data for their decision making.

FAQs

What is the main responsibility of a Data Engineer in the Network Capacity Services team?

The main responsibility of a Data Engineer in the Network Capacity Services team is to build data pipelines and a centralized data store that supports data-driven network planning for scaling AWS's complex network infrastructure.

What kind of experience is required for this Data Engineer position?

The position requires experience in data engineering, data modeling, warehousing, building ETL pipelines, and knowledge of distributed systems related to data storage and computing.

Which technologies should candidates be familiar with?

Candidates should have experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and Lambda, as well as non-relational databases/data stores including object storage, document stores, key-value stores, graph databases, and column-family databases.

What is the culture like within the NCS team?

The culture within the NCS team is inclusive and collaborative, welcoming bold ideas and encouraging team members to take ownership of their initiatives while working with a diverse range of professionals.

Is there room for professional growth and learning in this position?

Yes, the position encourages continual acquisition of expertise, exploring new technologies, and adopting best practices, providing ample opportunities for professional growth and learning.

What does the team do to enable data-driven network planning?

The team builds the infrastructure and data pipelines to enable data extraction, transformation, and loading from various data sources, thus empowering effective network planning.

Are there opportunities for collaboration with other teams?

Yes, Data Engineers will collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to adopt best practices in reporting and analysis, thereby supporting decision-making processes.

What kind of problem-solving approach is expected from candidates?

Candidates are expected to engage in pragmatic problem-solving, be adaptable, and pioneer new territories in their approach to challenges within the role.

Does Amazon commit to diversity and inclusion in the workplace?

Yes, Amazon is committed to a diverse and inclusive workplace, believing that a diverse workforce is central to their success and actively promoting equal opportunity for all candidates.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.