Data Engineer - Data Platform & AI Enablement
Pure Storage1 month ago
Prague, CzechiaEntry Level / Mid Level
Responsibilities
- Develop, test, and deploy data pipelines into Snowflake using Python, Snowpark, and Apache NiFi.
- Generate metadata, track data lineage, and define data ownership within pipelines.
- Transform raw data with SQL and assist with dimensional and other scalable data modeling.
- Monitor pipeline health, tune database performance, optimize queries, and configure Snowflake warehouses.
- Collaborate with data engineers, data scientists, and analysts to deliver user-facing datasets.
Requirements
- 1–3 years of hands-on experience in data engineering, data warehousing, or data-focused software development.
- Strong proficiency in Python and experience with or willingness to learn Snowflake Snowpark.
- Practical experience with Apache NiFi for data routing, transformation, and system mediation.
- Working knowledge of advanced SQL, relational databases, and modern cloud data warehouses, preferably Snowflake.
- Understanding of data modeling for analytical reporting and machine learning consumption.
- Familiarity with database performance tuning, query optimization, and execution plan analysis.
- Understanding of data governance concepts, including metadata, lineage, and data ownership.
Benefits
- Flexible time off, wellness resources, and company-sponsored team events.
- Growth and development support, inclusive employee resource groups, and a collaborative team environment.
- Primarily in-office work from the Prague office, except during PTO, work travel, or other approved leave.
About Pure Storage
Pure Storage builds all-flash data storage systems and software for enterprises, including FlashArray and FlashBlade, and offers storage delivered as-a-service for on‑prem and cloud workloads. Its subscription model (Evergreen/Pure as‑a‑Service) supports databases, virtualization, analytics, and AI. Founded in 2009 and headquartered in Santa Clara, California, Pure is a public company listed on the NYSE (PSTG).