R-19094 Data Engineer II - VN

Key Skills

Apache Hadoop, Apache Hive, AWS, Azure, Azure CosmosDB, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Analytics, Data Architecture, Data Warehousing, Design, HBase, IT, Kanban, Neo4J, OLAP, PostgreSQL, REDIS, Scrum Agile Methodology, SQL, SQL Server

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:o 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++,

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.