Data Engineer @ PKO Finat Sp. z o.o. in PKO Finat Sp. z o.o.

We are looking for 2 people for the position of Data Engineer. Form of cooperation: B2B Place of work: hybrid - we meet once a week in the office in Warsaw at Chmielna 89 Very good knowledge and at least several years of experience as a Data Engineer developer: - in the area of ​​data integration processes using ETL tools (Informaitica Power Center) - in the area of ​​GCP technology (Big Query, Pub-Sub, Google Cloud Anthos, Cloud Storage Buckets, - in programming in Phyton (knowledge of one of the Phyton frameworks: Flask, Django) - in designing and creating relational databases (PostgresSQL, Oracle ) Knowledge of the Linux environment (experience in working with a terminal, basic knowledge of bash shell scripts) Knowledge of scheduling tools: Apache Airflow Experience in working with large volumes of data ~100TB Ability to think analytically and quickly acquire knowledge Independence and creativity in solving problems Punctuality and reliability in project implementation 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. We are looking for 2 people for the position of Data Engineer. Form of cooperation: B2B Place of work: hybrid - we meet once a week in the office in Warsaw at Chmielna 89, [ Data analysis and preparation of logical and physical models for them, Design and implementation of IT solutions in the area of ​​data feeding, Work with relational databases (Postgres Sql, Oracle), Building ETL feed processes - Power Center Informatica, Creating and developing a containerized application 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 implementation of changes in the field of data feeding processes, Removing incidents and participating in problem solving, Supporting the team in developing competences in Oracle / Posgres technology] Requirements: GCP, Google Cloud, Storage, Phyton, Flask, Django, Oracle, Linux, Bash, Apache Airflow, CI, Kubernetes, Docker,SAS