Data Engineer
Core
Design, build, and maintain scalable data pipelines and ETL processes on AWS to support data-driven decision-making.
Role type
Data Engineer
Builds
Scalable data pipelines, data warehouses, and integrated data systems
Domain
Personal care / Consumer goods
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AWS cloud services, ETL development, data pipeline design, data integration, data warehousing, automation, Python/Scala scripting, system monitoring, technical documentation
Preferred skills
Experience with AWS Redshift, API/webhook integration, code quality best practices
Technologies
AWS (S3, Lambda, CloudWatch, Kinesis, EMR, RDS, EC2, Glue, Redshift)
Responsibilities
Design and maintain efficient data pipelines for structured and unstructured data; Integrate and consolidate data from various sources into centralized systems; Develop ETL processes for data transformation; Automate data processing tasks and optimize workflow performance; Monitor data pipelines for availability, quality, and performance; Document data engineering processes and systems
Seniority
Mid-level, hands-on IC
