Data Engineer  

Build, organize, and maintain data pipelines to support data processing needs.

Develop and optimize SQL queries using SQL Server, MySQL, or similar databases.

Use Python to support data processing, automation, and ETL workflows.

Assist in designing data architecture for large-scale data movement and integration.

Collaborate with cross-functional teams to understand requirements and translate them into effective data solutions.

Work within Big Data environments or Hadoop ecosystems for data processing tasks.

Create and maintain ETL processes for Big Data environments.

Prepare clear technical documentation for all development activities.

Utilize tools such as Visual Studio, SSIS, or CDSW when needed.

Minimum Bachelor’s degree in Computer Engineering, Informatics Engineering, Information Systems, or Electrical Engineering.

More than 1 year of experience in Data Engineering is a plus.

Able to build and organize data pipelines.

Strong knowledge of SQL (SQL Server, MySQL, etc.).

Understands Python programming language.

Able to create the best architecture for massive data transfer.

Able to work with other teams to formulate architecture based on requirements.

Familiar with Big Data development environments or Hadoop Family.

Familiar with creating Extract Transform Load processes for Big Data.

Familiar with creating development documentation.

Experience using Visual Studio, SSIS, or CDSW is a plus.