27 days ago
Cluj-Napoca, RomaniaSenior
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using Matillion on AWS across raw, silver, and gold data layers in Snowflake.
- Develop, certify, publish, and maintain governed, documented, reusable Data Products for the enterprise Data Marketplace.
- Develop and optimize Snowflake warehouses, schemas, tables, views, streams, tasks, and stored procedures.
- Improve Snowflake performance through clustering, caching, micro-partitioning, and resource monitoring.
- Support Data Marketplace population, cataloging, discoverability, data contracts, SLAs, quality standards, lineage, metadata management, and access policies.
- Automate data validation, profiling, quality checks, certification workflows, quality gates, and approval processes.
- Collaborate with analysts, data scientists, AI/ML teams, product teams, governance teams, and business stakeholders to define Data Products.
- Lead code reviews, mentor engineers, contribute to architecture decisions, and support strategic data roadmap planning.
- Build CI/CD pipelines for Matillion deployments and Snowflake object management.
- Develop reusable ETL frameworks, templates, and patterns, and implement monitoring, alerting, and operational practices for pipeline health.
Requirements
- At least 5 years of experience as a Data Engineer or in a similar role.
- Strong Snowflake expertise, including SQL, performance tuning, data modeling, warehouse configuration, streams, and tasks.
- Hands-on experience with Matillion on AWS or comparable ETL/ELT tools such as Talend, Informatica, dbt, or Azure Data Factory.
- Strong understanding of Data Products, Data Marketplaces, data contracts, data-as-a-product, and self-service data consumption.
- Advanced SQL skills, including writing complex queries and optimizing them.
- Understanding of dimensional modeling, star schemas, data warehouses, data lakes, and bronze/silver/gold architectures.
- Experience with AWS and proficiency in Python, Airflow, or other orchestration tools.
- Familiarity with Git, CI/CD, general DevOps practices, data governance, metadata management, and data cataloging tools.
- Preferred experience with enterprise Data Marketplaces or Data Catalogs, data mesh, near-real-time ingestion, OpenFlow, Kafka, CDC, AI/ML data preparation, data lineage, and impact analysis.
- Experience with Oracle Business Applications, including ERP/EBS, is a plus.
Benefits
- Opportunity to work for a global leader with stability, global reach across nearly 70 countries, and a startup-like growth environment.
Tech Stack
Categories
Data Engineering
About Vertiv
Vertiv builds power, cooling, and IT infrastructure for data centers, communication networks, and industrial facilities, sold as hardware, software, and services. Its portfolio spans UPS systems, thermal management, racks, prefabricated modules, and monitoring/management software, backed by global field service and commissioning. Headquartered in Columbus, Ohio, Vertiv was formed from Emerson Network Power and became a publicly traded company on the NYSE.