Description

Build and maintain data infrastructure for large-scale initiatives.

Responsibilities

• Design, implement, and debug ETL pipelines to support data architecture.
• Optimize data processes using cloud-native AWS services.
• Contribute to scalable big data solutions.
• Collaborate with stakeholders, data architects, and data scientists to improve data quality.

Required Skills

• 5+ years of hands-on experience with big data technologies.
• Proficiency in Python, Scala, and SQL.
• Experience with Apache Kafka, Spark, and Airflow.
• Proven track record implementing data pipelines on AWS.
• Working knowledge of AWS Glue, Redshift, Lambda, API Gateway, and CloudWatch.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science