Data Engineer (Multiple Positions)

Design, construct, test, and maintain robust, reliable, and scalable data pipeline and services.

Investigate and integrate up-and-coming big data technologies into existing requirements.

Install/update system and component fault-tolerant procedures.

Employ an array of technological tools to integrate with third-party data systems.

Collaborate with team members on the project's goals.

Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Data Science, Analytics, Statistics, Mathematics, or a related field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Data Science, Analytics, Statistics, Mathematics, or a related field, and 3 years of related work experience.

Of the required experience, must have 1 year of experience in each of the following:

Designing and modeling data warehouse to support data analytics, reporting, and data applications;

Implementing data warehouse and ETL processes using Hive, Spark, Hadoop, and/or SQL Server to optimize the data processing performance;

Programming using SQL, Python, and/or Java;

Estimating SLAs for the data pipeline, and triaging and debugging data infrastructure issues; and

Building data services or applications using HBase, Elastic Search, ClickHouse, and/or SQL Server.