Data = information = knowledge = power. Do you want to hold the keys to that power? Are you motivated by solving challenging problems, where creativity is as crucial as your ability to write code, deliver solutions, and bring valuable data sets together to answer business questions?
If this sounds like an environment where you will thrive, come and join our Data Engineering team. Interested? Cause we are!
About the role:
As a Data Engineer, you will work as a member of the Data Engineering team to ensure the highest quality data is made available for swift analysis and BI report generation. You will help to architect and further develop the data processing pipeline. You should have extensive experience in the creation, development, and business usage of extremely large data sets. You should be eager to work with massive data sets, someone who loves to bring data sets together to answer business questions, drive change, and deliver answers.
On a typical day, while working closely with analysts and managers, you will improve the data processing and modeling pipeline by providing high-quality designs and structures to feed our self-service platform.
You will spend a lot of time identifying ways to make our platform better, working with various data, and transforming that data into solid solutions that make business decisions easier. You will help to provide value by enabling better self-service for other Dynatracers. This is an exciting opportunity to make a direct, tangible impact on our product and work on our crucial Digital Business Platform.
We guarantee plenty of challenges and scope to grow.
Responsibilities:
- Develop new capabilities in our data warehouse(s) and ELT pipeline(s) in most complex data environments
- Improve existing patterns and frameworks for quickly aggregating millions of raw data records into actionable metrics
- Coordinate with key stakeholders (including BI expert, analytics team, and product management) to deliver and optimize data sources to address specified business requirements
- Improve the reliability, flexibility, and scalability of our existing tools
- Engage in processes ensuring the highest security standards in controlling data access
Priority skills & experience:
- 3+ years professional experience as a software engineer or data engineer
- Strong SQL experience and good experience in at least one high level language (e.g. Java)
- Good English communication skills.
Desired skills & experience:
- Experience with cloud platforms (AWS/Azure/GCP)
- Knowledge of modern, cloud-based data pipeline best practices
- Experience in building reliable, performant streaming and batch processing data (ELT/ETL) pipelines
- Strong work experience in data warehousing and business intelligence in an enterprise setting
- Experience with cloud data warehouse platform(s), preferably Snowflake
Nice-to-haves:
- Experience in enabling an organization to become highly data-driven
- Experience in building and running continuous integration pipelines
- Experience in data structure optimization
- Experience as a Product Owner
- Experience as a Scrum Master
- Experience as a Team Leader
- Expertise in data analysis
Additional Information
Please consider when submitting your CV that due to the current health crisis related to COVID-19, in our Lab in Poland, we are currently limited in extending offers to non-EU citizens. We are keeping the situation under review and would adjust our position, should the restrictive measures be removed later on. Should this affect your application, we are happy to keep it in evidence until further notice.