The vacancy is well-defined but lacks compensation details, affecting overall attractiveness.
no salary info
Job description
Bell Integrator is a company that offers opportunities for professional and career growth, working on interesting projects with a team of professionals.
Responsibilities
- Development, support, and optimization of ETL processes for the bank's platforms.
- Implementation of developed data science models in a production environment (MLOps).
- Support for the industrial operation of developed solutions.
Requirements
- Understanding the basics of cloud technologies and virtualization/containerization.
- Experience with the Hadoop ecosystem (HDFS, Hive, Spark, etc.).
- Experience in industrial Python development.
- Experience with ETL (Airflow, etc.).
- Experience with CI/CD solutions based on Jenkins and Bitbucket/Git.
### A Plus:
- Experience with container orchestration platforms K8s, OpenShift.
- Experience in implementing DS models in production.
- Experience with Kafka.
- Experience with popular RDBMS (Greenplum, Teradata, Oracle, PostgreSQL).
- Understanding of data warehouse (DWH) principles.
- Knowledge in RL and Graph Neural Networks.
- Strong knowledge in classical ML and DL.
Conditions
- Opportunity to participate in interesting projects.
- Opportunity for professional and career growth within the company.
- Experience working in a team of professionals.
- Special rates for employees at sports clubs and language courses, etc.
- Office/hybrid work format in Moscow.
About Bell Integrator
Bell Integrator is a global consulting and technology services provider that drives innovation and enables digital transformation, primarily in finance, telecom, retail, and automotive industries. Founded in 2003, it offers services including IT infrastructure support, robotization process analysis, and digital solutions with offices in 6 countries worldwide.[1][2]