Description

You will design and maintain data pipeline architectures for large-scale processing and analytics.

Responsibilities

• Build and optimize ETL infrastructure using SQL and AWS big data technologies.
• Design process improvements, including automating manual tasks and enhancing data delivery.
• Develop analytics tools to support customer acquisition and operational efficiency insights.
• Secure data across national boundaries using multiple data centers and AWS regions.
• Collaborate with Executive, Product, Data, and Design teams to support infrastructure needs.

Required Skills

• 4+ years of experience in big data development.
• Proficiency with Hadoop, Apache Spark, and Kafka.
• Experience with stream-processing systems such as Storm or Spark-Streaming.
• Hands-on experience with AWS services: S3, EC2, EMR, RDS, and Redshift.
• Strong knowledge of relational SQL, Snowflake, and NoSQL databases (Postgres, Cassandra).
• Experience with Docker and Kubernetes.
• Programming proficiency in Python, Java, C++, PySpark, or Scala.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science