Description

You will build and maintain large-scale data architectures using AWS and big data technologies.

Responsibilities

• Design, implement, and debug effective ETL pipelines.
• Optimize data processes using cloud-native services.
• Collaborate with stakeholders, data architects, and data scientists to improve data quality.
• Contribute to the overall design and implementation of data architecture.

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.
• Hands-on implementation of data pipelines using AWS services.
• Direct experience with AWS Glue, Redshift, Lambda, API Gateway, and CloudWatch.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science