About the Role

Join a Digital Transformation team operating at the intersection of technology, education, and general 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 global impact.
- Grow your expertise in cloud, AI, data engineering, and analytics at scale.

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