R-12711 Data Engineer III

Responsible for designing and implementing data and analytical system using cloud data services / tools and programing languages: Python, Scala, or Java

Deep in 1 specific area (Power BI, ETL design, Visualization, Synapse SQL, Cloudera, Azure, Snowflake etc) or 1/more customers

Owner of the project (or module in case of large projects) for internal stakeholders (PMO, Principal etc)

Understands and communicates scope 

Define and document approach and design (code / testing / migration)

Explain scope / approach / design to customer / internal team as needed

Define Project detailed tasks

Define templates / artifacts to be created for tasks (test results, test plan, design doc, requirements doc etc)

Define task duration and dependencies

Assign tasks to rest of the team members and monitor progress

Monitor quality - Review code and unit testing results

Assists team members on tasks as needed. 

REQUIREMENTS

Demonstrate knowledge and real-world experience on Big data technologies. A successful history of manipulating, processing and extracting value from large disconnected datasets.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Strong analytic skills related to working with unstructured datasets.

Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

> 5 years of experience in a Data Engineer role. They should also have experience using the following software/tools:

Experience with big data tools: Hadoop, Spark, Kafka, etc. and cloud data servic

Experience with relational SQL databases such as Oracle, SQL Server, MySQL or Postgres.

Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

For senior data engineers also should have demonstrable experience in

Project management and organizational skills.

Experience supporting and working with cross-functional teams in a dynamic environment.

Good Academic track record preferred

Experience on visualization tools such as PowerBI/Tableau or other BI tools with hands on experience in this tools

QUALIFICATIONS/SALARY

Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

Excellent Communication skills

5+ years of relevant experience.

Negotiable salary.

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.