Position: BigData Engineer (Python, Spark, AWS)
Company: Grid Dynamics
Experience required: 2y
English level: intermediate

Our client is a global technology company from the advertising industry which operates on dozens of terabytes of data daily.

The project is about development of the Data Science platform in the cloud which will allow teams easily deploy models to production and provide corresponding ETL.

Responsibilities: 

Development of the ETL data pipelines
Close collaboration with Data Scientists and Analysts, moving ML models to production
Requirements: 

2+ years of experience in Big Data engineering
Strong knowledge of Python
Knowledge of Apache Spark
Experience working with AWS Cloud (S3, EMR, Glue)
English level: Upper-Intermediate and higher
Nice to have:
Java, Scala
Apache Airflow
Hadoop (Hive, MapReduce)
SQL, NoSQL
Kafka
Data Science / Machine Learning background
We offer:

Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Medical insurance
Benefits program
Corporate social events
About us:

Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.