AWS Data Engineer
Core
Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes on AWS or Azure.
Role type
Senior IC data engineer
Builds
Cloud-native data pipelines, data models, and data structures for analytics and operational use cases
Domain
Cloud data engineering (AWS/Azure)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Java, .NET, SQL, data modeling, relational databases, NoSQL systems, distributed storage, Apache Spark, Hadoop, Pandas, Apache Airflow, Azure Data Factory, CI/CD, IaC, containerization
Preferred skills
Experience with AWS services (S3, RDS/Aurora, EMR, Glue, Athena, Redshift, Lambda), Azure services (Data Lake Storage, Azure SQL, CosmosDB, Synapse), system design principles for data platforms
Technologies
AWS (S3, RDS/Aurora, EMR, Glue, Athena, Redshift, Lambda), Azure (Data Lake Storage, Azure SQL, CosmosDB, Data Factory, Synapse), Apache Spark, Hadoop, Apache Airflow, Azure Data Factory, Git, Docker, Terraform
Responsibilities
Design and optimize SQL queries and data models; implement data processing solutions using distributed computing frameworks; develop automated workflows using orchestration tools; apply DevOps practices including CI/CD automation and containerization; contribute to the design of resilient and secure data architecture
Seniority
Mid-level (3+ years experience)
