Data Engineer (AWS)

Indeed

Company

Job typeFull-time

Workplace typeOnsite

Experience levelNo experience limit

Education levelNo degree limit

Description

**Description:** ---------------- Join Digiage and help scale artificial intelligence with operational excellence. We are looking for a **Data Engineer with AWS focus** to work on strategic data, analytics, and artificial intelligence projects, directly contributing to building modern, scalable, and data-driven architectures. We seek analytical-minded professionals with architectural vision and solid cloud experience, capable of developing robust solutions for large-scale data processing, integration, and delivery. **Responsibilities:** * Develop and maintain scalable data pipelines in AWS; * Build ETL/ELT processes for data ingestion, transformation, and delivery; * Work with large volumes of structured and unstructured data; * Implement data storage, processing, and governance solutions; * Ensure pipeline quality, security, monitoring, and observability; * Optimize performance and costs in cloud environments; * Support analytics, BI, machine learning, and artificial intelligence initiatives; * Collaborate with cross-functional teams, contributing data engineering best practices; * Automate processes and support CI/CD and infrastructure-as-code workflows. **Requirements:** ----------------- * Solid experience in Data Engineering; * Hands-on experience with AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, CloudWatch, IAM; * Advanced knowledge of Python and SQL; * Experience in data modeling and analytical solution architecture; * Experience building and orchestrating data pipelines; * Knowledge of distributed systems and large-scale data processing; * Experience with version control and software development best practices. **Nice-to-have:** * Familiarity with orchestration tools such as Airflow; * Experience with Terraform or CloudFormation; * Experience with Docker and Kubernetes; * Knowledge of Spark/PySpark; * Experience with Data Lake, Lakehouse, and modern data architectures; * AWS certifications; * Experience in AI, advanced analytics, or machine learning projects.