Company Description

Dynatrace exists to make software work perfectly. Our platform combines broad and deep observability and continuous runtime application security with advanced AIOps to provide answers and intelligent automation from data. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That is why the world’s largest organizations trust Dynatrace® to accelerate digital transformation.

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! 

Job Description

As a Senior Java Engineer with SQL, 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 

• Improve existing patterns and frameworks for quickly aggregating millions of raw data records into actionable metrics
• Develop new capabilities in our data warehouse(s) and ELT pipeline(s) in most complex data environments
• 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

Qualifications

Priority skills & experience 

• 2+ years of experience as a software engineer or data engineer
• Strong Java experience and good experience in SQL
• Experience working with cloud solutions and process automation
• Good English communication skills
• Passion for end-to-end software development, including design and deployment automation

Desired skills & experience 

• Strong work experience in data warehousing and business intelligence in an enterprise setting
• Experience in building reliable, performant streaming and batch processing data (ELT/ETL) pipelines 
• Knowledge of modern, cloud-based data pipeline best practices
• Experience with cloud platforms (AWS/Azure/GCP)
• 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/Scrum Master/Team Leader
• Expertise in data analysis