Data Engineer @ SquareOne in SquareOne

Minimum of 3-5 years of experience as a data engineer Experience working with databases such as Teradata, Oracle, Hive, BigQuery Experience working with Google Cloud Platform, in particular with services such as BigQuery, Dataproc, Pub/Sub, Google Cloud Storage, etc. Knowledge of SQL at an advanced level, Creation and development of a containerized application in Phyton technology using the Flask/Django framework and microservices architecture. Knowledge of the Python programming language at an intermediate level. Ability to create, optimize and automate ETL processes (Informaitica Power Center). Knowledge of tools. schedulers: Apache Airflow Application lifecycle automation (GitLab, Jira, Jenkins and similar) Additional advantages include: • Knowledge of Dash, Streamlit • Knowledge of SqlAlchemy • Experience with applications running in containers (Kubernetes, Anthos, Docker or similar) ScheduleIN task scheduling applications , • Development knowledge of the SAS environment • applications for reporting and building dashboards, e.g. Google Data Studio, SuperSet, • monitoring tools, e.g. Gratana, • cloud solutions used in data loading processes, e.g. data flow, nifi. ,[Data analysis and preparation of logical and physical models for them,, Design and implementation of IT solutions in the area of ​​data feeding,, Working with relational databases (Postgres Sql, Oracle), Construction of ETL processes - Power Center Informatica, Creation and development of containerized applications in Phyton technology using the Flask/Django framework and microservices architecture, Using the Linux operating system, Working in a cloud environment on Google Cloud Platform (Big Query, Cloud SQL, Kubernetes), Application lifecycle automation (GitLab, Jira, Jenkins and similar ), Creating solution concepts and implementing solutions based on business requirements and needs, Supporting tests and implementing changes in the field of data feeding processes, Removing incidents and participating in problem solving, Supporting the team in the development of competences in Oracle / Posgres technology] Requirements: Python, Teradata, BigQuery, Google Cloud Platform, SQL, PySpark, ETL