Excellent knowledge of Python
Experience with a Cloud Data Platform such as GCP (Big Query, Cloud Dataflow, Cloud Dataproc, Pub/Sub) or AWS (Redshift, EMR, Datapipeline, RDS, Lambda, and Kinesis)
Experience building data pipelines using Apache Beam or Apache Spark
Experience with some of the following data stores: Big Query, Redshift, Postgres, Cassandra, or Mongo
Experience with real time streaming solutions such as Kinesis, Pub/Sub, or Kafka
Large scale Data Modeling from a Modern Big Data perspective
Experience with producing and consuming event driven data
Experience working on data team building functions, models, and complex algorithms
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, try yourself in different roles;
— More than 150 workplaces for advanced training;
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities.
The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
Lack of dress code, friendly atmosphere, concern for the comfort of specialists;
Flexible schedule and the ability to work remotely;
The ability to work in any of our development centers.
Our client is an international company that builds integrated programs for a healthy lifestyle and body weight control. The company has been operating for more than 50 years, and has offices in 30 countries. Off-line group meetings combined with modern technologies help users follow individually designed and convenient programs.
DataArt’s specialists will work on creating data lake-based solutions using GCP, S3, CCS, BigQuery, Kinesis + Looker, Apache Beam, Spark, Docker, and Kubernetes.
We are not hiring the specialist just for this project, but also for one of the DataArt companies. When the project is over, or if after some time you no longer are satisfied by the project, you can discuss transitioning to another project with the managers.