Senior Data Engineer @ ITDS
4 tygodni temu
Join us, and drive data excellence with cutting-edge solutions
Krakow-based opportunity with the possibility to work 80% remotely
As a Senior Data Engineer, you will be working for our client, a global financial institution, responsible for data ingestion, refinement, and presentation within a cloud data platform.
#GETREADY to meet with us
We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data.
You're ideal for this role if you have:
Experience in data engineering, ETL, and streaming
Proficiency in data modeling and making trade-offs for schema design
Expertise in implementing automated data quality solutions
Proficiency in Git, Maven, Shell scripting, and Python
Familiarity with orchestration, scheduling, and DevOps principles
Knowledge of Continuous Integration and Continuous Delivery practices
Experience building or operating a cloud data platform
Understanding of data architecture and willingness to learn new technologies
Proactive mindset with leadership abilities for driving improvement initiatives
Comfortability in rapidly changing and ambiguous environments
Aptitude to collaborate with technical staff and project managers for efficient delivery
Join us, and drive data excellence with cutting-edge solutions
Krakow-based opportunity with the possibility to work 80% remotely
As a Senior Data Engineer, you will be working for our client, a global financial institution, responsible for data ingestion, refinement, and presentation within a cloud data platform.
#GETREADY to meet with us
We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data.
,[Designing, developing, testing, coding, and deploying data solutions, Operating and iterating a cloud data platform to meet internal goals, Prioritizing quality, time, and budget constraints, Efficiently communicating within the team and with business stakeholders, Collaborating with global diverse teams in an Agile product-oriented culture] Requirements: Data engineering, ETL, Data modeling, Git, Maven, Shell, Python, DevOps, CI/CD Additionally: Access to +100 projects, Private healthcare, Multisport card, Access to Pluralsight.
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