Description
We want you to join us as a full-time Senior Data Engineer into our Data Pipeline team. We work remotely first, but we are more than happy to meet you in our nice office in Bratislava or Brno. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin.
Intrigued? Read on 🙂…
Your responsibilities
- You will develop and maintain Data LakeHouse on top of GCP platform using Apache IceBerg, BigQuery, BigLake tables, DataPlex and DataProc in the form of Apache Spark/Flink with open file formats like AVRO and Parquet
- You will help to maintain a streaming mechanism on how data from Apache Kafka gets into the Data LakeHouse
- You will optimise the Data LakeHouse for near-real-time and non-real-time analytical use-cases primarily for customer activation and scenarios/campaign evaluation
- You should help with areas like data discovery and managed access to data through the data governance layer and data catalog using DataPlex so our engineering teams can leverage from this unified Data LakeHouse
- You feel responsible for DataModeling and schema evolution
- You should help us with adopting the concepts from Data Fabrics and Data Mesh to run data as a product to unlock the potential the data can unleash for our clients
- You should bring expertise into the team from similar previous projects to influence how we adopt and evolve the concepts mentioned above and as an addition to that to topics like Zero-copy or reverse ETL to increase the ease of integration with client’s platforms
- You will also help to maintain the existing data exports to Google’s BigQuery using google’s DataFlows and Apache Beam
- You will help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes.
- You will review the code of your peers and they'll review yours. We have high code quality standards and the four-eyes principle is a must!
Your qualifications
- You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHouses
- You have a taste for big data streaming, storage and processing using open source technologies
- You can demonstrate your understanding of what it means to treat data as a product
- You know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring value
- You are able to learn and adapt. It'll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.
- You know data structures, you know Python and (optionaly) Go.
Our tech stack
- Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake Table
- Open formats IceBerg, Avro, Parquet
- DataProc, Spark, Flink, Presto
- Python, GO
- Apache Kafka, Kubernetes, GitLab
- BigTable, Mongo, Redis
- … and much more 🙂
Compensations
- Salary range starting from 3500 EUR gross per month, going up depending on your experience and skills
- There's a bonus based on company performance and your salary.
- You will be entitled to restricted stock options 📈that will truly make you a part of Bloomreach.
- You can spend 1500 USD per year on the education of your choice (books, conferences, courses, ...).
- You can count on free access to Udemy courses.
- We have 4 company-wide disconnect days throughout the year during which you will be encouraged not to work and spend a day with your friends and family "disconnected".
- You will have extra 5 days of paid vacation 🏖. Extra days off for extra work-life balance 🙂.
- Food allowance!
- Sweet referral bonus up to 3000 USD based on the position.
Your success story.
- During the first 30 days, you will get to know the team, the company, and the most important processes. You’ll work on your first tasks. We will help you to get familiar with our codebase and our product.
- During the first 90 days, you will participate in your first, more complex projects. You will help the team to find solutions to various problems, break the solution down into smaller tasks and participate in implementation. You will learn how we identify problems, how we prioritize our efforts, and how we deliver value to our customers.
- During the first 180 days, you’ll become an integral part of the team. You will achieve the first goals we will set together to help you grow and explore new and interesting things. You will help us to deliver multi-milestone projects bringing great value to our customers. You will help us mitigate your first incidents and eventually even join the on-call rotation. You will get a sense of where the team is heading and you’ll help us to shape our future.
- Finally, you’ll find out that our values are truly lived by us 💛. We are dreamers and builders. Join us!
