Description:

As an AWS Data Engineer, you will assist companies in realizing the value, efficiency, and productivity of the cloud.
You will work directly with customers and the team to enable innovation through hands-on deployment across technology stacks.
Your responsibilities will include building complex ETL code and SQL queries using various databases such as MongoDB, Oracle, SQL Server, MariaDB, and MySQL.
You will work on Data and Analytics Tools in the Cloud and develop code using programming languages like Python, Scala, and R.
You will utilize technologies such as Spark, Hadoop, and Kafka to build complex Data Engineering workflows and data pipelines.
Establishing credibility and building impactful relationships with customers to enable them to be cloud advocates is essential.
You will capture and share industry best practices and present valuable information at industry events.

Requirements:

A Bachelor's degree in computer science, Information Technology, or a related field is required.
You must have 3+ years of design and implementation experience with distributed applications.
A minimum of 2 years of experience in database architecture and data pipeline development is necessary.
A strong understanding of data modeling, ELT, ETL processes, data lakes, and data warehousing concepts is required.
Proficiency with AWS services such as S3, Redshift, Glue, RDS, DynamoDB, EMR, Lambda, Kinesis, and Athena is essential.
Knowledge of big data technologies and frameworks, including Hadoop and Spark, is required.
Experience with programming languages such as SQL, Python, or Scala is necessary.
You should possess strong presentation skills and be comfortable speaking with executives, IT management, and developers.
Excellent communication skills and the ability to hold appropriate conversations are required.
A demonstrated ability to adapt to modern technologies and learn quickly is essential.
Certification in AWS (e.g., AWS Data Engineer Associate, AWS Solutions Architect Associate) is preferred.

Rackspace Technology is recognized as a best place to work by Fortune, Forbes, and Glassdoor, indicating a commitment to employee satisfaction.
The company offers a supportive environment that values unique perspectives and fosters innovation.
Employees are encouraged to bring their whole selves to work, contributing to a diverse and inclusive workplace.
Rackspace Technology is committed to equal employment opportunities and provides accommodations for individuals with disabilities or special needs.