Senior Data Engineer

2 miesięcy temu


Warsaw, Polska GETINDATA POLAND sp. z o.o. Pełny etat

technologies-expected :
Python
Scala
Java
Databricks
Kafka
Git
Microsoft Azure
Docker
Terraform
Azure DevOps

technologies-optional :
Apache Airflow
Azure Data Factory
Prefect
Dagster

about-project :
We run a variety of projects in which our sweepmasters can excel. Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine Learning Models, Generative AI and more. We like working with top technologies and open-source solutions for Data & AI and ML/AI. In our portfolio, you can find Clients from many industries, e.g., media, e-commerce, retail, fintech, banking, and telcos, such as Truecaller, Spotify, ING, Acast, Volt, Play, and Allegro. You can read some customer stories here.
About role
We are excited to announce that we are looking for a Data Engineer This position is vital to our company, and we are seeking candidates with outstanding skills and experience. Although there isn't an immediate project available, we invite you to reach out and explore future opportunities with us.
A Data Engineer's role involves the design, construction, and upkeep of data architecture, tools, and procedures facilitating an organization's collection, storage, manipulation, and analysis of substantial data volumes. This position involves erecting data platforms atop commonly provided infrastructure and establishing a streamlined path for Analytics Engineers who rely on the system.

responsibilities :
Working together with Platform Engineers to assess and choose the most suitable technologies and tools for the project
Development and committing of new functionalities and open-source tools
Executing intricate data intake procedures
Implementing and enacting policies in line with the company's strategic plans regarding utilized technologies, work organization, etc.
Ensuring compliance with industry standards and regulations in terms of security, data privacy applied in the data processing layer
Conducting training and knowledge-sharing

requirements-expected :
Proficiency in a programming language like Python / Scala or Java
Knowledge of Lakehouse platforms - Databricks
Experience working with messaging systems - Kafka
Familiarity with Version Control Systems, particularly GIT
Experience as a programmer and knowledge of software engineering, good principles, practices, and solutions
Extensive experience in Microsoft Azure
Knowledge of at least one orchestration and scheduling tool, for example, Airflow, Azure Data Factory, Prefect, Dagster
Familiarity with DevOps practices and tools, including Docker, Terraform, CI/CD, Azure DevOps
Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement

offered :
Salary: 160 - 200 PLN net + VAT/h B2B (depending on knowledge and experience)
100% remote work
Flexible working hours
Possibility to work from the office located in the heart of Warsaw
Opportunity to learn and develop with the best Big Data experts
International projects
Possibility of conducting workshops and training
Certifications
Co-financing sport card
Co-financing health care
All equipment needed for work


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