Job Description

Robert Half has partnered with an exciting organization to find a Data Engineer! To have ownership of delivering all new types of features for our data products, ranging from new data marts on top of the data warehouse, to new data integrations with third parties, to real-time data streaming.

Responsibilities:

Define, build, & support our Data Warehouse and all future Data Initiatives.

Work collaboratively with a delivery team of Engineers, Analytics, and Data Science specialists to design and deliver products that provide the insights our stakeholders require to make strategic and tactical business decisions.

Identify and monitor the measures of the data products and features.

Manage the product life cycle (design, delivery, launch, support, maintain)

Involved in analysis of requirements, production specifications, architecture, configuration, security, performance, scalability, reliability.

Documentation of solutions (e.g. data models, configurations, and setup).

Document future state process flows, including alternate flows and exceptions.

Provide support for automation developers, including clarifying automation requirements, facilitating the creation of required environment and permission configurations.

Support QA in testing larger automation initiatives.

Assist with various operational issues, including troubleshooting production support issues, gathering, and documenting change request details.

Requirements

Qualifications:

Minimum 2 years of hands-on data analytics experience

Experience on Cloud Computing (e.g. AWS, Microsoft Azure, Google Cloud, IBM Cloud)

An understanding of DevOps, GitHub or other Code Management or deployment tools, principles of DevOps

Any experience on Vertica/Snowflake/TimescaleDB/Clickhouse/Greenplum

A strong understanding of SQL, star schema, dimensions and dimensional design

A strong experience on ETL tools, data integration and data migration design.

Proactive attitude, sense of ownership and ability to work autonomously

Advanced in English both verbal and written