Data Engineer- Remote
Trianz is looking for passionate Data Engineers who are looking to tackle challenges and build solutions
We are looking for a Data Engineer to not only build data pipelines but also extend the next generation of our data tools. As a Data Engineer, you will develop a clear sense of connection with our organization and leadership - as Data Engineering is the eyes through which they see the product.
This is a partnership-heavy role. As a member of Infrastructure Strategy Data Engineering, you will belong to a centralized Data Science/Data Engineering team who partners closely with teams in Facebook’s Infrastructure organization. Through the consulting-nature of our team, you will contribute to a variety of projects and technologies, depending on partner needs. Projects include analytics, ML modeling, tooling, services, and more. The broad range of partners equates to a broad range of projects and deliverables: ML Models, datasets, measurements, services, tools and process.
5+ years of SQL experience.
3+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).
3+ years’ experience with Data Modeling.
Experience analyzing data to discover opportunities and address gaps.
5+ years’ experience in custom ETL design, implementation and maintenance.
Experience working with cloud or on-prem Big Data/MPP analytics platform(i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).