AWS Data Engineer

Rackspace is a multicloud solutions expert, combining expertise with world-leading technologies across applications, data, and security to deliver end-to-end solutions.
Giza, El Omraniya, Giza Governorate, Egypt
Data
Mid-Level Software Engineer
Remote
3+ years of experience
Enterprise SaaS · Cloud

Description For AWS Data Engineer

Rackspace is seeking an AWS Data Engineer to join their team. As a full spectrum AWS integrator, Rackspace assists hundreds of companies in realizing the value, efficiency, and productivity of the cloud. They take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.

In this role, you will work directly with customers and the Rackspace team to help enable innovation through continuous, hands-on deployment across technology stacks. You will build data pipelines by developing data engineering code, as well as writing complex data queries and algorithms.

Key responsibilities include:

  • Building complex ETL code
  • Developing complex SQL queries using various databases
  • Working on Data and Analytics Tools in the Cloud
  • Developing code using Python, Scala, R languages
  • Working with technologies such as Spark, Hadoop, Kafka, etc.
  • Building complex Data Engineering workflows
  • Creating complex data solutions and data pipelines
  • Establishing credibility and building impactful relationships with customers
  • Capturing and sharing industry best practices
  • Attending and presenting at Industry Events

This position offers the opportunity to work with cutting-edge technology and solve complex customer problems. Rackspace is committed to professional and personal growth, making it an excellent place for those who love a challenge and want to make a significant impact in the cloud technology space.

Rackspace has been consistently named a best place to work by Fortune, Forbes, and Glassdoor, attracting and developing world-class talent. They embrace diversity and unique perspectives, believing that these fuel innovation and enable them to best serve their customers and communities around the globe.

Last updated 2 months ago

Responsibilities For AWS Data Engineer

  • Build complex ETL code
  • Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
  • Work on Data and Analytics Tools in the Cloud
  • Develop code using Python, Scala, R languages
  • Work with technologies such as Spark, Hadoop, Kafka, etc.
  • Build complex Data Engineering workflows
  • Create complex data solutions and build data pipelines
  • Establish credibility and build impactful relationships with customers
  • Capture and share industry best practices amongst the community
  • Attend and present valuable information at Industry Events

Requirements For AWS Data Engineer

Python
MongoDB
MySQL
  • Bachelor's degree in computer science, Information Technology, or a related field
  • 3+ years design & implementation experience with distributed applications
  • 2+ years of experience in database architecture and data pipeline development
  • Strong understanding of data modeling, ELT, ETL processes, data lakes, and data warehousing concepts
  • Proficiency with AWS services such as S3, Redshift, Glue, RDS, DyanmoDB, EMR, Lambda, Kinesis, and Athena
  • Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark)
  • Experience with programming languages such as SQL, Python, or Scala
  • Presentation skills with a high degree of comfort speaking with executives, IT management, and developers
  • Excellent communication skills with an ability to hold the right level conversations
  • Demonstrated ability to adapt to modern technologies and learn quickly
  • Certification in AWS (e.g., AWS Data Engineer Associate, AWS Solutions Architect Associate) is preferred

Interested in this job?

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