Data Engineer

The Data Engineer will develop, test, and maintain Big Data solutions for a company. Gather large amounts of data from multiple sources and ensure that downstream users can access the data quickly and efficiently. Essentially, the company’s data pipelines are scalable, secure, and able to serve multiple users.

Job description

• Meeting with managers to determine the company’s Big Data needs.

• Developing Hadoop systems.

• Loading disparate data sets and conducting pre-processing services using Spark, Hive or Pig.

• Finalizing the scope of the system and delivering Big Data solutions.

• Managing the communications between the internal system and the vendor.

• Collaborating with the software research and development teams.

• Building cloud platforms for the development of company applications.

• Maintaining production systems.

• Training staff on data management.

Big Data Engineer Requirements:

• Bachelor’s degree in computer engineering or computer science.

• Previous experience as a big data engineer.

• In-depth knowledge of Data Bricks Hadoop, Spark, and similar frameworks.

• Good understanding of Azure environment

• Knowledge of ADF and scripting languages is preferred.

• Knowledge of NoSQL and RDBMS databases including Redis and MongoDB.

• Familiarity with Mesos, AWS, and Docker tools.

• Excellent project management skills.

• Good communication skills.

• Ability to solve complex data, and software issues.

We love our work environment. We think you will too:

• It’s a friendly atmosphere with supportive leaders to bring your creativity to the max.

• Corporate Social Responsibility initiatives to help you make an impact to communities at large.