Founding Engineer: Data Infrastructure

What You’ll be Doing

• Scaling our data infrastructure to multi-terabyte scale as we expand our customer base.
• Build ETL pipelines for data profiling, data cleaning, and data aggregation.
• Ensure data integrity across all data sources.
• Manage data ingestion and processing infrastructure stacks with proper monitoring and alerting.
• Manage a team of overseas contractors.

What You Should Have

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 5+ years of experience in engineering data solutions using big data technologies (Hive, Presto, Spark, Flink) on large-scale data sets.
• Passionate about building data models, data processing pipeline, and data infrastructure.
• Expertise in Infrastructure as Code with Terraform and Amazon Web Services.
• Strong knowledge of AWS data and analytics solutions (e.g. Kinesis, Glue, Athena, Redshift, S3, Aurora, Lake Formation).
• Experience with one or more programming languages, including but not limited to: Python, SQL, Java.
• Good communication and collaboration skills. Able to take vague business and analytics requirements and convert them into scalable data solution.