Cimkék: Employee status, College
Az állás részletei ittFeladatok:
Build and maintain Azure Databricks solutions
Develop scalable ETL/ELT pipelines
Implement and optimize Lakehouse solutions
Develop Spark applications
Develop reusable data and AI platform components
Build and maintain MLOps pipelines using Azure Databricks
Automate platform, data and ML deployments
Build CI/CD pipelines for data and machine learning workloads
Collaborate closely with Data Scientists to transition models from experimentation into production
Elvárások:
5+ years of experience in Data Engineering, ML Engineering, Cloud Platform Engineering, or a related field.
3+ years of experience designing and developing enterprise-scale cloud data platforms, preferably on Azure, AWS, or GCP.
5+ years of hands-on experience with Python and strong SQL skills.
Strong experience with Databricks, Apache Spark, and distributed/parallel data processing.
Proven experience designing and developing ETL/ELT pipelines and applying data modeling and data warehousing concepts.
Experience with modern Data Lakehouse architectures.
Proven experience with CI/CD and version control systems such as Git.
Experience with Infrastructure as Code, preferably Terraform.
Strong analytical and problem-solving skills, with the ability to work independently and take ownership.
Excellent professional communication skills in English.
Előnyt jelent:
Experience with ML lifecycle management, MLOps, model deployment, and productionization.
Experience with Kubernetes and containerized workloads.
Experience with Large Language Models (LLMs) in production environments.
Experience with orchestration and modern data engineering technologies such as Airflow or Apache Iceberg.
Experience with analytical data platforms, OLAP systems, and data warehousing technologies.
Experience with NoSQL databases and non-relational data modeling.
Familiarity with enterprise data governance, metadata management, data lineage, and data quality practices.
Experience designing and developing APIs and service integrations.
Relevant Azure, AWS, or GCP certification(s).
Amit kínálunk:
You’ll have the opportunity to take on meaningful responsibilities and make a real impact.
Our flexible working model allows you to work from home most of the month, helping you balance work and everyday life.
We look forward to seeing you in the office on team days, where you’ll enjoy a modern, comfortable and inspiring working environment.
We offer an attractive benefits package, including a cafeteria package, , a company mobile phone and employee discounts.
Your health and well-being matter to us. That’s why we provide health insurance to all our employees, which can also be extended to cover family members.
We’re more than just a workplace – we’re a community. You’ll have plenty of opportunities to take part in community and CSR initiatives, as well as company events throughout the year.
Budapest, Bács-Kiskun megye, Baranya megye, Békés megye, Borsod-Abaúj-Zemplén megye, Csongrád-Csanád megye, Fejér megye, Győr-Moson-Sopron megye, Hajdú-Bihar megye, Heves megye, Jász-Nagykun-Szolnok megye, Komárom-Esztergom megye, Nógrád megye, Pest megye, Somogy megye, Szabolcs-Szatmár-Bereg megye, Tolna megye, Vas megye, Veszprém megye, Zala megye
Budapest, Pest megye
Budapest
Budapest
Budapest
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