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Data Engineer - Tech Foundations 2026 Tech Grads
Data Engineer
Join a fast‑growing tech foundation as a Data Engineer, building scalable data pipelines and warehouses on AWS and Google BigQuery, while handling NoSQL stores and end‑to‑end ETL processes.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and load data from diverse sources into AWS and Google BigQuery environments.
- Implement and optimize data warehousing solutions to support analytics, reporting, and machine‑learning workloads.
- Work with NoSQL databases (e.g., DynamoDB, MongoDB) to ensure high‑performance data access and storage.
- Collaborate with data scientists, analysts, and product teams to define data requirements and deliver reliable, timely data sets.
- Monitor pipeline performance, troubleshoot issues, and apply best practices for scalability, security, and cost efficiency.
Requirements
- Strong understanding of AWS services (S3, Lambda, Glue, Redshift) and Google BigQuery.
- Hands‑on experience building ETL/ELT pipelines using tools such as Apache Airflow, dbt, or custom Python/SQL scripts.
- Proficiency with NoSQL data stores and data modeling concepts.
- Solid foundation in SQL, data warehousing design, and performance tuning.
- Ability to work in a collaborative, fast‑paced environment and communicate technical concepts clearly.