Data Engineer II - VN

Key Skills

Apache Airflow, Apache Hadoop, Apache Kafka, Big Data Technology, C++, Java Programming, MySQL, Postgres, Python Programming, Scala Programming, SPARK Programming, SQL, SQL Server

Job Description

JOB DESCRIPTION

• Collaborate with customer to gather requirements and to 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

REQUIREMENTS

• Demonstrate knowledge and real-world experience on Big data technologies. A successful history of manipulating, processing and extracting value from large 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.
• We are looking for a candidate with > 3+ 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.o 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 ino Project management and organizational skills.

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.