Semi Senior / Senior Data Engineer (AWS, Python & SQL)
Core
Design, build, and optimize scalable data platforms and pipelines supporting analytics, ecommerce, logistics, and marketing initiatives.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data infrastructure, and data processing systems
Domain
Cloud data engineering (AWS)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Apache Spark, Apache Airflow, AWS data architecture, Redshift, Snowflake, Fivetran, data quality automation
Preferred skills
Kafka, AWS Kinesis Firehose, Docker, Kubernetes, Ruby, R, Data Warehouse migration
Technologies
AWS, Redshift, Snowflake, Airflow, Fivetran, Spark, Kafka, Kinesis Firehose, Docker, Kubernetes
Responsibilities
Design and maintain scalable data pipelines; Architect data processing systems for large-scale datasets; Optimize platform performance, resiliency, and costs; Ensure data quality through automation; Mentor engineers and analysts; Participate in technical decision-making
Seniority
Senior, hands-on IC with mentorship responsibilities
