What You Will Do:    

In this role, you will perform the following day-to-day activities:  

Assist in building and optimizing data pipelines using Databricks and Apache Spark. 

Analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights. 

Support the deployment of analytics solutions on cloud platforms such as AWS, Azure, or Google Cloud. 

Create dashboards and visualizations using tools like Power BI, Tableau, or Databricks SQL. 

Collaborate with data engineers and analysts to ensure data quality, governance, and compliance. 

Participate in data modeling and transformation tasks to support business intelligence initiatives. 

Document data workflows, metrics definitions, and cloud architecture components. 

Contribute to automation and optimization of data operations in cloud environments. 

In this role, you will have: 

Engagement in meaningful daily work: You'll take ownership of specific tasks and projects, gaining hands-on experience and building confidence through real contributions.  

A supportive learning environment: You'll exercise your judgment in a guided setting, with mentorship and supervision to help you grow.  

Focused skill development: This role is designed to help you deepen your expertise in a specific area.  

Clear structure and expectations: You'll work within well-defined parameters, giving you the clarity and focus to succeed.  

Independent contributions: You'll have the opportunity to make an impact through your individual contributions while collaborating with a supportive team.  

Focus on growth: While there are no people management responsibilities with this role, it is a great stepping stone for future leadership opportunities.  

A collaborative team culture: You'll build strong working relationships with your peers and supervisor, gaining valuable experience in a professional environment.  

Education and Preferred Qualifications: 

Candidates should be: 

Final-year undergraduate or graduate students pursuing degrees in Computer Science, Data Science, Engineering, or related technical disciplines who are interested in converting to a full-time role post-graduation. Strong interest in data analytics, cloud computing, and modern data platforms. 

Enthusiastic about building a long-term career in a dynamic, technology-driven organization 

Effective communicators with the ability to collaborate in a team-oriented environment 

Open to feedback and committed to continuous learning and improvement 

Motivated by real-world problem solving and eager to contribute innovative ideas 

Certification nice to haves: 

AWS Certified Cloud Practitioner 

AWS Certified Data Analytics 

Databricks Certified Data Engineer Associate