R-19094 Data Engineer Ii

2 days ago


Remote, Vietnam Rackspace Full time

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

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

o 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.

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