Junior cloud data Engineer (AWS, Python, PySpark, PyCharm)

Role :Junior Cloud Data Engineer

Location

Experience: 2

What awaits you/ Job Profile

You will play a key role in developing, maintaining, and optimizing cloud-based data pipelines. Under the guidance of senior engineers, you will focus on data integrity, scalability, and security while supporting business analytics and cloud-based solutions.

• Assist in developing, managing, and optimizing cloud-based data pipelines.
• Work on storing, processing, and managing metadata to improve data accessibility.
• Optimize data schemas and indexing strategies for efficient data storage and retrieval.
• Implement best security and compliance practices in cloud-based applications.
• Support the development, visualization, and maintenance of data analytics dashboards.
• Participate in Agile workflows (Scrum/Kanban) and follow software development best practices.
• Collaborate with cross-functional teams to understand and translate data requirements into technical solutions.

What should you bring along

• Basic understanding of cloud engineering and REST-based API development.
• Knowledge of Object-Oriented Programming (OOP), data structures, and design patterns.
• Ability to work in feature teams and follow guidance from senior engineers.

Must have technical skill

• Python, PyCharm, PySpark.
• AWS services such as Lambda, S3, SNS, SQS, DynamoDB, EC2.

Good to have technical skills

• Basic knowledge of Terraform
• Exposure to GitHub Actions and other DevOps tools