Data Engineer, Front end

3 weeks ago


Mascot, Australia AbbVie Full time
Job Description

We have a 12-month contract opportunity for a Data Engineer to join our Business Technology Solutions (BTS) team responsible for pipeline development, data quality, advanced front-end development (data visualisation and application) and other post-delivery activities to support key business initiatives. In this role, you will report to the BTS Data Solutions Manager and work primarily with the local data scientists and analysts across functional disciplines, as well as with a central data product and the analytics support team

 

Key responsibilities:

  • Build advanced data pipelines using Apache Spark, Python, and SQL (preparing, mapping, joining, and stitching ingested datasets).
  •  Build KPIs and connect to the dashboards and other front-end applications using TypeScript
  • Develop advanced data visualisations and applications using open sources libraries and languages CSS, HTML, JavaScript, and SQL.
  • Define and ensure data quality of ingested datasets by implementing health and content checks
  •  Convert and optimise existing SQL queries and R applications.
  • Ensure appropriate security and compliance policies are followed for information access and dissemination.
  • Define and apply information quality and consistency throughout the data processing lifecycle.
  • Enforce and expand the use of AbbVie Common Data Model and industry standard information descriptions (ontologies, taxonomies, dictionaries, glossaries, etc.).
  •  Manage the information portal and its customer-facing resources (data catalogue, etc.)

Qualifications

What you'll need to get started

  • Experience in several data processing roles such as database developer/administrator, ETL developer, data analyst, BI analytics developer, and/or solution developer of contextual search applications.
  • Understanding of distributed data processing frameworks like Hadoop/Spark Knowledge in programming languages like Python, JavaScript, and SQL to build data pipelines and visualisations.
  • Previous experience in production ML models is preferred.
  • Understanding of the pharmaceutical industry is preferred.
  • Ability to think and plan strategically (work plans, activities, timetables, targeting) and operate with execution excellence.

Essential skills and abilities:

  • Must be at ease with technology (the use of various tools/systems to perform day-to-day tasks).
  • Previous experience with ETL/ELT/orchestration tools (SSIS, Azure Data Factory, Talend, Airflow, Informatica, etc.).
  • Previous experience with Data Visualisation tools (Microsoft Power BI, Tableau, IBM Cognos etc.).
  • Comprehension of Palantir Foundry platform or other big data management systems (Databricks, Snowflake, etc.).
  • Experience with cloud computing services (AWS, Azure, or GCP)
  • Skilled with Microsoft Office Suite (Outlook, PowerPoint, Excel, Word, etc.).
  • English language proficiency (oral and written).


Additional Information

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group sta

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.


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