Position: Lead DWH/BI Developer 44 + Welcome bonus
Company: Exadel
Experience required: 5y
English level: intermediate

Requirements:
Must have strong technical expertise in database architecture, design & data modelling
Expertise in gathering and analyzing system requirements and designing conceptual and logical data models
Ability to build conceptual, logical, and physical data models in Erwin and/or ER Studio
Strong SQL query writing skills
Experience working with Big Data
Ability to speak to the differences in data modeling technology and philosophies of Codd, Kimball, and Inman
Knowledge of data model types and terminology including OLTP, OLAP, cubes, dimensional star/snowflake modelling, and graph/NoSQL
Prior experience in databases like Oracle, SQL Server, Aurora MySQL, MongoDB
Experience with HIVE is an advantage
Familiarity with data visualization tools like Tableau/MicroStrategy
Understanding of and ability to apply data naming standards and to explain your definition of "best practices in data modeling”

Nice to have:
Experience working in the AWS ecosystem and services such as EMR and S3

English level:
Intermediate

Responsibilities:
Design and develop integration data models between multiple data sources and consolidate them into a single common data model or enterprise data model
Maintain version control of the data model(s), as well as ensure consistency between the data model and deployed instances of the model

Company offers:
Vacation is 20 working days / till 20 working days per year for sick leaves
Full payment of taxes
English courses
Flexible work schedule
Friendly environment
Medical insurance
Opportunity for career growth

About the Customer:
The customer is an American company based in Chicago. It accelerates digital transformation for the insurance and automotive industries with AI, IoT and workflow solutions.
 
About the Project: 
The customer has been working on an analytics platform since 2018. The platform is on Hadoop and the Hortonworks Data Platform, and the customer is planning on moving it to Amazon EMR in 2021. The customer has a variety of products, the data for all of which comes into one data lake on this analytics platform, which also allows the customer to do next generation analytics on the amassed data.

Architecture:
Hortonworks is the current vendor. It will be replaced by Amazon EMR. Tableau is going to be the BI vendor. Microstrategy currently exists and will be phased out by early 2023.

All data is sent to the data lake, and the customer can do industry reporting. These data are used by a data science team to build new products and an AI model.

We will be moving to real-time streaming using Kafka and S3. We are doing POC to use Dremio and Presto for the query engine.

We're migrating to version 2.0 using Amazon EMR and S3, and Query engine is bucketed under 2.0 project.

Project Advantages:
Cross product analytics
Analytics for every new product сustomer has. Analytics team products is how the customer sells the products value to clients
Quarterly Business Review meetings use data to explain how сustomer’s product is helping clients in their business
You'll get to work with a cross-functional team
You will learn the customer’s company business
 
Project Stage: 
Active Development