Position: Strong Middle/Senior Data Engineer (Python+AWS)
Company: Intellias
Category: Data Analyst
Experience required: 3y
English level: upper

Our customer is one of the most well-known brands in the Automotive parts industry: an international corporation with over a hundred years of history. We are engaged with US-based branch to support their efforts in Digital and eCommerce space. Our team works on cloud infrastructure and solutions that facilitate sales and marketing of their products in the North America.
 
Our tech stack
AWS Lambda (we write Python)
Amazon Kinesis
Amazon Athena (Presto)
AWS Redshift
AWS DynamoDB

Responsibilities:

Exploration and validation of data from various sources, generation of new reports based on investigated data;
Gathering, analysis and documentation of requirements for data processing and reporting;
Development of data-processing pipelines and data-marts;
Operational monitoring of key metrics and determining the causes of deviations from the expected values.
 
Requirements:
Proficiency in SQL
Hands-on experience with Python
Working experience with AWS Cloud and AWS Lambda
Understanding the principles of Massive Parallel Processing
Fluent English, both spoken and written**
 
Nice to have:
Column-based data warehouse: Amazon Redshift / Snowflake / Google BigTable / Teradata / CosmosDB
Process orchestration software: Apache Airflow / Prefect / Dagster.

Why this position:
Project with modern stack and innovative tasks
Team of 30+ professionals , including 5 Python Engineers and main stakeholder, who is a true Python Engineer in past
Breathtaking atmosphere that allows to develop both technical and soft skills in a proper way