About the Role

Join a Digital Transformation team operating at the intersection of technology, education, and global impact. As a Data Engineer, you will design, build, and optimize scalable cloud-based data solutions, helping transform complex data into actionable insights. You will collaborate closely with Data Engineering, Data Science, and Infrastructure Architecture teams while contributing to the evolution of a modern Big Data Platform.

What You'll Do

- Design and develop high-performance data applications for batch and streaming workloads.

- Build scalable cloud-native solutions to process large volumes of structured and unstructured data.

- Support data engineering initiatives including code integration, quality control, and technical training.

- Collaborate with architecture teams to define and evolve Big Data Platform strategies.

- Develop reusable platform capabilities, tools, and engineering standards.

- Evaluate emerging technologies and contribute to platform modernization efforts.

- Design and implement reporting, dashboards, predictive analytics, and self-service data solutions.

- Work directly with business stakeholders to identify challenges, opportunities, and data-driven solutions.

- Standardize reporting, metrics, data governance, and data accessibility practices.

- Participate in Agile development, testing automation, and continuous delivery initiatives.

Required Qualifications

- Bachelor's degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or a related technical field; or equivalent professional experience.





- 3-5 years of hands-on experience as a Software Engineer or Data Engineer.

- Strong experience working with large-scale cloud-based data platforms.

- Advanced proficiency in Python and SQL.

- Experience processing complex data structures such as JSON and XML.

- Strong understanding of Object-Oriented Design principles.

- Experience with automated testing, CI/CD, and Agile delivery methodologies.

- Experience designing, building, and maintaining large-scale data processing applications.

Preferred Qualifications

- Public projects, open-source contributions, or technical demos.

- Experience with AWS data and analytics services.

- Familiarity with Spark and Pandas.

- Experience with GenAI Prompt Engineering and Retrieval-Augmented Generation (RAG) architectures.

Technical Environment

- Python

- SQL

- AWS (S3, RDS, Redshift, Glue, EMR, Kinesis, Lambda, Step Functions, DynamoDB, CloudFormation)

- Spark

- Pandas

- CI/CD Pipelines

- Agile Development Practices

- Big Data Platforms

- Streaming & Batch Processing

Core Competencies

- Data Engineering

- Cloud Architecture

- Big Data Processing

- Problem Solving

- Technical Leadership

- Stakeholder Management

- Data Governance

- Continuous Improvement

Why Join Us

- Work on cutting-edge digital transformation initiatives.

- Collaborate with highly skilled data and engineering teams.

- Influence architecture decisions and platform strategy.

- Contribute to meaningful projects in education and integral impact.

- Grow your expertise in cloud, AI, data engineering, and analytics at scale.

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