ETL Data Engineer

Accenture (Sydney NSW, Australia) 23 days ago

· Join a team that’s changing how Australia lives, works, plays and grows

· We want you to be the best version of you

Work with innovative teams and explore new technologies to help solve real-world problems.

A typical day as a Data Engineer

ETL / Big Data Engineering professionals will be responsible for guiding the full lifecycle of a Data solution, including:

· Working in highly client-facing roles to contribute throughout the end-to-end delivery lifecycle of complex and large-scale digital solutions

· Use case and business case development

· Support existing and new applications utilizing in-depth technical and data knowledge. Troubleshooting complex issues and providing advisory services to improve the client’s data landscape

· Help to streamline and simplify the clients’ complex data landscape by integrating different applications and data architectures

· Implementation from requirements analysis, platform selection, digital architecture design, application design and development, testing, and deployment

· Interstate travel may be required

Basic qualifications:

  • Bachelor’s degree
  • Experience across systems integration, information management, data management and architecture, and business analytics
  • Experience with being in a team focusing on large-scale, multi-release information centric projects
  • Experience with waterfall and agile delivery and run / application support functions
  • Part of a team working on End to end implementation of at least 1 big data project

Preferred Skills:

  • Hand on experience in Data warehousing using ETL tools such as DataStage, Autosys and TeraData
  • Hands on experience in ETL job development with multiple stages like sequential file, Transformer, Lookup, join, sort and Database stages.
  • Strong hand on skills in design, development and implementation of various data remediation, Data migration, data integration techniques.
  • Strong hand on data modelling experience.
  • Strong hands on experience in database performance tuning including complex query optimizations and physical database tuning using Teradata.
  • Understanding of architectural designs and strategy related to data migration, data cleansing, data quality and data consolidation.
  • Proven data analysis, requirement gathering and problem-solving skills
  • Exposure to Unix environment and shell scripting.
  • Experience in Banking and Financial services industry
  • Desirable: Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Google Cloud, Microsoft Azure)

ETL Data Engineer

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