AWS ENGINEER |WFH till covid |2+ Years

JD:

Experience working with large data sets
 Experience authoring workflows (using technology like Apache Airflow)
 Experience provisioning and maintaining highly-available, fault-tolerant IT
infrastructure including servers, storage, and data stores
 Cloud operation experience: running real workloads in the cloud and diagnosing and
fixing problems (AWS preferred)
 At least 2 years of experience using R/Python for real-word data analysis
 Experience with stream processing (Kafka, Spark Streaming, Akka, Flink, etc.)
 Expert level proficiency with SQL and Relational databases
 Experience with image data analysis/ data modeling for large scale databases, either
relational or NoSQL (graph, key:value, document, etc.)
 Serve as the business modeler / data analyst, creating conceptual and logical business
models used to generate physical data models and database schema.
 Identify and document current and future state of data architecture.
 Establish new data standards and processes to support the company’s needs.
 Collaborate with various departments, architects, project managers and technical
managers to provide estimates, develop overall implementation solution plan and serve
as a lead, when required, to implement solutions.
 Effectively present / communicate data models to the business, IT and the project
teams.
 Familiarity with Agriculture data.
 Worked on one or more of the following databases: Oracle, SQL Server, TD
 4+ years using MS SQL Server, Oracle, MySQL and PostgreSQL.
 Experience with
 SQL Data Warehouse, Big Data and NoSQL technologies. AWS experience is a plus.
 Advanced knowledge of data architecture principles, methods, and techniques