Data Engineer Trainee

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation. If you like a challenge, you’ll love it here, because we solve complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.
We are seeking a motivated Fresher/Trainee Data Engineer to join our Cloud Data Services team. In this role, you will receive hands-on training while contributing to the design, development, and maintenance of data pipelines that support analytics and business decision-making across cloud and hybrid environments. This opportunity is ideal for recent graduates or entry-level candidates who are passionate about data engineering and cloud technologies.If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?

What you will be doing

• Assist in developing and maintaining scalable, efficient data pipelines under the guidance of senior engineers.
• Support data extraction, transformation, and loading (ETL/ELT) processes.
• Learn and apply data quality, governance, and validation best practices.
• Contribute to the development of data models for structured and semi-structured data.
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.
• Follow best practices in version control (e.g., Git), and apply principles of DataOps, DevOps, and MLOps.
• Document data workflows, pipelines, and key learnings for future reference.
• Stay current with emerging tools, technologies, and trends in data engineering.

Qualifications and skills

• Bachelor's degree in computer science, Information Technology, or a related field.
• Basic knowledge of programming in Python or SQL.
• Exposure to data integration tools or scripting techniques.
• Understanding of relational and NoSQL database concepts.
• Familiarity with data visualization tools such as Power BI or Tableau (preferred but not required).
• Interest in cloud technologies (e.g., AWS S3, Azure Data Lake, GCP BigQuery).
• Strong analytical and problem-solving skills.
• Willingness to learn new technologies and embrace challenges.
• Good written and verbal communication skills.
• Ability to work independently and collaboratively within a team.
• Strong attention to detail and effective time management.

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