· 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
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
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)
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Vera Goga is the Recruiter managing this role. As the team experience high volumes of applications, we appreciate your patience to allow for a fair and timely process.
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All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected applicable law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Life at Accenture
Work where you're inspired to explore your passions and where your talents are nurtured and cultivated. Innovate with leading-edge technologies on some of the coolest projects you can imagine.
Learn More About Accenture
Our more than 500,000 people in more than 120 countries, combine unmatched experience and specialized skills across more than 40 industries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.