Rackspace Technology is hiring a
Senior Data Engineer

Summary

The job involves collaborating with customers to gather requirements, creating and maintaining optimal data pipeline architecture, building analytics tools for actionable insights, and using various big data technologies such as Hadoop, Spark, Kafka, etc. The candidate should have at least 3+ years of experience in a Data Engineer role and be proficient in SQL, Python, Java, C++, Scala, etc. Project management skills are preferred for senior data engineers.

Requirements

• Demonstrate knowledge and real-world experience on Big data technologies
• Advanced working SQL knowledge and experience working with relational databases
• Strong analytic skills related to working with unstructured datasets
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• We are looking for a candidate with > 3+ 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

Responsibilities

• Collaborate with customer to gather requirements and understand their business processes
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Spark, SQL and Azure or AWS data technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Use tools to deploy and monitor the performance of the systems in production

Preferred Qualifications

For senior data engineers also should have demonstrable experience in project management and organizational skills