Degree in Environmental Engineering
Amazon Elastic Compute Cloud-EC2, Amazon RedShift, Amazon Simple Storage Service (S3), AWS, AWS Glue, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Architecture, Data Lake, Data pipelines, Design, DynamoDB, Lambda, NoSQL, NumPy, Pandas, PySpark, Python Programming, Terraform
BSc or MSc (preferred) in a STEM field Relevant work experience of 8 years Fluency in Python (especially Numpy and Pandas) and familiarity in PySpark Extensive hands-on experience with AWS Analytical Components like S3, EC2, Lambdas, Glue, SQS, SNS, DynamoDB, Redshift, RDS etc. Experience with Data Lake Formation and Athena. Work Experience with industry standard distributed systems (ie. Spark, hive), data pipeline tools (ie. Airflow), NoSQL Databases (DynamoDB) and databases (PostgreSQL) Experience with Data Analysis, Significant experience optimizing data retrieval processes supporting API output, ideally within a low query volume / high data volume environment. Demonstrably deep experience with relevant big data processing either via Spark or through a modern MPP database like Redshift, ideally with experience in both Demonstrably deep experience with CI/CD tools and practices in a containerized AWS environment, from deployment pipelines (Jenkins, etc), infrastructure definition (Terraform, CloudFormation, etc. Understand and design for non-functional concerns such as performance, cost optimization, maintainability, and developer experience.
Brillio is a company focused on digital technologies and big data analytics headquartered in Santa Clara, California, United States