Data Engineer III

Summary

Join Rackspace Technology as a Data Engineer and become the owner of projects or modules, defining scope, approach, and design. You will communicate designs to customers and internal teams, define detailed tasks and templates, assign tasks, monitor progress and quality, and assist team members. This role requires extensive experience with big data technologies, SQL, and various data tools. A strong analytical background and project management skills are essential. Rackspace offers a competitive salary and a collaborative work environment.

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
• Experience with big data tools: Hadoop, Spark, Kafka, etc
• 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
• Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Communicate by English well
• 5+ years of relevant experience

Responsibilities

• Own the project (or module in case of large projects) for internal stakeholders (PMO, Principal etc)
• Understand and communicate 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
• Everything that staff does

Preferred Qualifications

• Good Academic track record
• Some experience on visualization tools such as PowerBI/Tableau or other BI tools
• 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

Benefits

Negotiable salary