Pipedrive is seeking a Data Engineer to join their team in Tartu, Estonia. This role involves designing and building data pipelines, models, and preparing data sources for visualization tools like Tableau. The ideal candidate will work with cutting-edge technologies such as Apache Spark, Kafka, Flink, and Airflow to process terabytes of data daily on AWS cloud.
Key responsibilities include:
- Designing, implementing, and visualizing reusable analytical models
- Developing and deploying data solutions
- Analyzing requirements from internal customers
- Assisting with efficient use of the Data Warehouse
- Improving ETL development processes and best practices
- Leading system design and architecture initiatives
- Performing code reviews and on-boarding new developers
Requirements:
- At least 3 years of engineering experience (preferably in Python)
- Experience with production-grade data pipelines
- Familiarity with distributed data processing systems and cloud computing technologies
- Proficiency in SQL and data modeling
- Knowledge of modern data stack tools and industry trends
- Excellent communication skills and familiarity with agile methodologies
- BSc or MSc in computer science, mathematics, statistics, or equivalent experience
Pipedrive offers a value-driven work environment, flexible working hours, and a competitive salary with benefits. The company promotes diversity and equal opportunities. This hybrid role provides an excellent opportunity for professional growth and impact in a dynamic, international team.