Senior Cloud/Data Engineer

Role & Responsibilities

* Accountable for modernization, migration/transformation to a cloud data platform
* Design and build reliable, scalable data infrastructure with leading privacy and security techniques to safeguard data
* Architect scalable, secure, low latency, resilient and cost-effective solutions for enabling predictive and prescriptive analytics across the organization
* Design/ Architect frameworks to Operationalize ML models through serverless architecture and support unsupervised continuous training models

Preferred Skills & Qualifications

Experience with a wide variety of modern data processing technologies, including:

* Big Data Stack (Spark, Spectrum, Flume, Kafka, Kinesis, etc.)
* Data streaming (Kafka, SQS/SNS queuing, etc)
* Columnar databases (Redshift, Snowflake, Firebolt, etc)
* Commonly used AWS services (S3, Lambda, Redshift, Glue, EC2, etc)
* Expertise in Python, pySpark, or similar programming languages
* BI tools (Tableau, Domo, MicroStrategy)
* Understanding Continuous Integration/Continuous Delivery