Data Modeling Engineer - Enterprise and Global Digital Factory

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Región

Australia

Ubicación

Queensland, South Australia, Various Locations, Victoria, Western Australia

Tipo de Trabajo

Full Time, Part Time

Categoría de Trabajo

Tecnología/IT

Fecha de publicación

16-sep-2020

Fecha de cierre

23-sep-2020 a las 00:00 GMT

Acerca de BHP

En BHP apoyamos a nuestros empleados para que logren crecer, aprender, desarrollar sus habilidades y alcanzar su máximo potencial. Con un portafolio mundial de operaciones, ofrecemos un entorno diversificado e inclusivo con extraordinarias oportunidades profesionales.  Nuestra estrategia es enfocarnos en crear un entorno laboral seguro en el que nuestros empleados se sientan profundamente conectados con nuestros valores y objetivos y en donde las diferentes capacidades y habilidades de nuestros empleados sean un factor clave de nuestro éxito.Ven y se parte de este éxito.

About the Role

The Data Modeling Engineer is critical in ensuring that data provided to the customer (our Assets) and used by all Digital Factory Teams – both on premise and cloud-based – is continually improving in quality, and the all data issues are identified, understood and addressed in order to achieve the high quality accurate data and make it available for key stakeholders thus enabling data driven decision making across the organization. 

The Data Modeling Engineer primary responsibility is maintaining, controlling and improving the quality of data provided from all data sources. They will be accountable for designing and modeling data in alignment with broader Asset use-cases and self-serve needs of the Digital Factory Teams and provide highly reusable and scalable data centric services that meets BHP’s data architecture strategy. 

The fun parts of this role include;

  • Understanding business problems and the Digital Factory product roadmap
  • Working with product teams to identify required data / information for their solutions and the existing sources of said data. This includes quality assessment and technical knowledge of data source capabilities (i.e., data capture frequency, known issues, etc.)
  • Working with Product Teams and the Data Integration Engineer to ensure that new data sources deployed for DF products meet data quality requirements
  • Monitors and manages metadata and ensures usefulness of metadata in improving effectiveness and quality of data
  • Work with the Data Domain Owners to understand the Data Domain, Data entities, Data Standard definitions, Data Classification rules and drive Data Quality framework to support enterprise level data architecture.
  • Implement processes and systems to monitor data quality, ensuring production data is always accurate, complete and consistent and available for key stakeholders and downstream business processes.
  • Define and govern data modeling and design standards, tools, best practices, and related development methodologies for the Data Catalog Organization
  • Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
  • Develop and maintain data lineage and source to target mappings to support data platform architecture
  • Develop and maintain scalable and optimized data pipelines and build new API integrations to support continuing increases in data volume and complexity. 

About You

We are looking for people who are passionate about Data and that come from a technical background working with data in a data warehouse, data lake and/or ETL/ELT environments with hands on experience in data modelling.

Ideally you will have the following experience:

  • Experience in a Data Modeler and/or Data Engineer role
  • Have worked with simulation/ optimization and distributed computing tools
  • Expertise in data environment development and improvement across a multitude of on-premise and cloud-based data sources
  • Developing, validating, publishing and maintaining Logical/physical data models
  • Have used data modeling tools - e.g., ErWin 
  • Exposure to building data governance and quality frameworks including (data proofing, data catalog, data dictionary, business glossary and data lineage)
  • Have built and optimized big data pipelines, architectures and data sets.
  • Have worked with large datasets, relational databases (SQL), and distributed systems (Hadoop, Spark, Hive) and stream-processing systems (Spark-Streaming)
  • Object-oriented/object function scripting languages: Python, Scala, etc.
  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • AWS cloud services: S3, EC2, EMR, RDS, Redshift and Kinesis

Apoyando una fuerza laboral diversa

En BHP, reconocemos que la diversidad nos hace más fuertes. Tenemos el compromiso de mantener un entorno de trabajo en el que todos sean incluidos, tratados de forma justa y respetuosa. Promovemos la Igualdad de Oportunidades como empleador e invitamos a que mujeres y a las comunidades que postulen a nuestros empleos. Sabemos que hay muchos aspectos importantes en las vidas de nuestros empleados y el trabajo es uno más de ellos, así que ofrecemos beneficios para permitir que su trabajo cuadre con su vida. Algunos de estos beneficios pueden incluir opciones de trabajo flexibles, una generosa política de permiso remunerado por paternidad/maternidad, otros permisos prolongados y salas de padres.ImportanteLa seguridad de nuestra gente y nuestros candidatos en BHP, es nuestra prioridad número uno.Debido a las circunstancias relativas al COVID-19 y las regulaciones que el Gobierno ha puesto en marcha para manejar la pandemia, su lugar de trabajo y/o el turno que fueron publicados en el aviso de empleo, podrían verse temporariamente modificados mientras las regulaciones gubernamentales continúen.  Esto, con el propósito de asegurar la seguridad y salud de nuestra fuerza de trabajo, e implementar medidas efectivas de distancia social. Estos cambios, de aplicar, serán discutidos durante los proceso de entrevistas. 
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