Staff Data Engineer @ Edge One Solutions Sp. z o.o. in Edge One Solutions Sp. z o.o.

About the Client A San Francisco-based company that creates easy-to-deploy and scale, flexible support, sales and customer engagement software to meet your changing needs. It also expands sales management and automation tools. About the project The Data Platform team is responsible for implementing a globally distributed system that uses advanced cloud technologies including Amazon Web Services. The person in this position will be responsible for building key parts of the platform and data services, including reporting and analysis. How will we take care of you? You will receive comprehensive support from a Service Delivery Manager who will support your career development, We will subsidize or pay for training, certificates and participation in conferences, We will help you develop soft skills - Employer Advocacy Program, Club of Serious Scrum Masters, We will give you the opportunity to change the #SmartChange project, and after it When we are finished, we will find a new one. We will also guarantee entertainment - team-building events, sporting events, #edge1talks webinars and many others. We like to support passions, that's why we co-finance the initiatives of our employees (e.g. Złombol) #edgeneration, We also encourage people to practice sports by helping to organize clubs or renting rooms, Health is the most important thing, so we provide private medical care, sports card, insurance and the possibility of consulting psychological (HearMe), A nice addition to your salary will be points awarded on the benefit platform to be used according to your needs, Due to many international projects, we encourage you to participate in free English lessons. Experience in software development and over 3 years of experience in building scalable data platforms. Knowledge of Java, Python, Scala (fluency in at least one language). Experience with AWS or related cloud technologies. Working knowledge of Kubernetes infrastructure and security best practices. Practical understanding of data modeling. Experience writing ETL tasks. Knowledge of frameworks: Kafka, Flink, Spark with proven knowledge of at least one task scheduling tool: Airflow, Celery, AWS Step functions Tech Stack. Ability to use many open source technologies, including: Spark, Flink, Hudi, Airflow. About the Client A San Francisco-based company that creates easy-to-deploy and scale, flexible support, sales and customer engagement software to meet your changing needs. It also expands sales management and automation tools. About the project The Data Platform team is responsible for implementing a globally distributed system that uses advanced cloud technologies including Amazon Web Services. The person in this position will be responsible for building key parts of the platform and data services, including reporting and analysis. How will we take care of you? You will receive comprehensive Service Delivery Manager supporta, which will support your career development, We will subsidize or pay for training, certificates and participation in conferences, We will help you develop soft skills - Employer Advocacy Program, Club of Serious Scrum Masters, We will give you the opportunity to change the #SmartChange project, and after its completion, we will find a new one, We will also guarantee entertainment - team-building events, sporting events, #edge1talks webinars and many others. We like to support passions, that's why we co-finance the initiatives of our employees (e.g. Złombol) #edgeneration, We also encourage people to practice sports by helping to organize clubs or renting rooms, Health is the most important thing, so we provide private medical care, sports card, insurance and the possibility of consulting psychological (HearMe), A nice addition to your salary will be points awarded on the benefit platform to be used according to your needs, Due to many international projects, we encourage you to participate in free English lessons. ,[Publishing tested code on the production platform.,Contribute to the design and development of key features and,functionality of our data platform.,Taking care of production,issues and improving the data platform.,Building a platform that will be the basis of our functions, reporting activities,our initiatives in the field Machine Learning and internal product analytics to the customer.] Requirements: Scala, Java, AWS, Python, Kubernetes, ETL, Kafka, Flink, Spark, CI, Airflow, Open source Tools: . Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, International projects, English classes, Multisport, Integration events, Friendly atmosphere, Free coffee, Bike parking.