ARAs Client, Tech Global (pseudonym), is a leading global provider of technology consulting and digital transformation services. The organization helps enterprises build scalable, high-performance applications and modern data solutions using cloud, distributed computing, and agile methodologies.

The Role :

The Data Engineer (PySpark) will be responsible for designing, developing, and enhancing scalable applications and data solutions tailored to business requirements.

The role involves working on distributed data processing using PySpark, building ETL pipelines, and collaborating with cross-functional teams to deliver optimized and high-performing applications. The candidate will also contribute to debugging, testing, and continuous improvement of applications.

Key Responsibilities :

- Design, develop, and enhance applications using PySpark and modern frameworks

- Build and maintain scalable data pipelines and ETL processes

- Collaborate with cross-functional teams to gather requirements and provide technical solutions

- Participate in application design, development, testing, and debugging activities

- Optimize application performance and ensure scalability and reliability

- Contribute to technical discussions and provide solutions to complex problems

- Assist in documentation of application specifications and user guides

- Work independently and act as a subject matter expert (SME) when required

Skills Required :

- Strong proficiency in PySpark

- Experience with data processing frameworks and distributed computing