Responsibilities

• Support the successful implementation of customer products related to Big Data, Data Engineering, and/or Data Warehouses.
• Build and maintain scalable Data Platforms and Datalakes on Cloud or on-premise, considering DevOps paradigms.
• Build and maintain data-intensive applications with big data technologies like Apache Spark, Hadoop, and databases (SQL and NoSQL), using batch or real-time data integration (Kafka, RabbitMQ).
• Develop data pipelines and workflows utilizing technologies such as AirFlow and/or Luigi.

Benefits

• Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose there medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
• Language Courses – you have access to the platform where you can practice your language skills.
• Regular and systematic further training opportunities - internal and external ones. We support your development. Training budget available for personal and team usage.
• Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

Qualifications

• You have a Bachelor's/Master’s degree in computer science or related fields (e.g. engineering, statistics, informatics).
• You have a passion for building, maintaining, and deploying data-driven products utilizing Kubernetes, Docker, Microservices, and Terraform.
• You think in a DevOps mindset, applying CI/CD (e.g., Gitlab CI, Jenkins), integration tests, and unit tests.
• You demonstrate experience with Data and Cloud Computing platforms (AWS, GCP, Azure), and/or Databricks/SnowFlake.
• You have experience in Software Development and clean code in Python, Java, SQL, and/or Scala.

Machine Learning Reply

Machine Learning Reply offers customized end-to-end Data Science solutions, covering the entire project life cycle – from initial strategy consulting, data architecture and infrastructure topics, to processing data with quality assurance using Machine Learning algorithms. Machine Learning Reply has extensive expertise in the field of Data Science in all key industries of German HDAX companies. Machine Learning Reply empowers clients to successfully introduce new data-driven business models and to optimize existing processes and products – with a focus on distributed open source and cloud technologies. With the Machine Learning Incubator, the company offers a program to train the next generation of decision-makers, data scientists and engineers. Machine Learning Reply is part of the Reply Group: Reply