Position: Middle/Senior Data Engineer
Company: Jabil
Experience required: 3y
English level: upper

Job requirements:
∙ Minimum of 3 or more years working as Data Engineer on Advanced Analytics and Data Provisioning projects
∙ Business Requirements Analysis and technical design
∙ Communication with key business users, Data Scientists, IT Tech leads.
∙ Hands-on experience with BIG data processing, clean, transform and prepare data.
∙ Hands-on experience working with Data Lakes (Hadoop, AWS S3, Azure ADLS)
∙ Expertise on joining datasets and creation of de-normalized views
∙ Experience with Data Preparation and Features Engineering as part of Machine Learning or Advance Analytics project
∙ Experience using Code/Version management tools

Will be a plus:
∙ Some basic knowledge of Supply chain and Manufacturing process domain
∙ Understanding of Cloud Solutions and Architecture

We offer:
∙ competitive compensation
∙ excellent benefit package
∙ flexible schedule
∙ sports activities support
∙ health insurance support
∙ corporate English
∙ free lunches
∙ opportunities to grow professionally
∙ well-equipped workplace
∙ convenient office location (Botanichniy Sad metro station)

Experience and knowledge:
∙ Deep knowledge of AWS Data Services
∙ Experienced writing AWS Glue, Spark code for data processing and preparation
∙ Experienced working with Glue Endpoints. Step functions, Lambda
∙ Experienced in SageMaker notebooks using Python and PySpark to create features and write to S3 & AuroraDB
∙ Experienced in IoT Analytics using AWS Kinesis data streams or Kafka streaming
∙ Automate with CI/CD pipelines by Modularizing / generalizing with variables
∙ Experienced working in any of the popular ETL tools
∙ Experienced or Working knowledge of Talend
∙ Working knowledge of Snowflake
∙ Working knowledge of Hadoop toolset like HDFS, Hive, Impala
∙ Working knowledge of Linux Shell Scripting