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What We'll Bring:
We are looking for the right individual to embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.
What You'll Bring:
Responsibilities
Analyse and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modelling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Impact You'll Make:
Requirements and skills
Previous experience as a data engineer or in a similar role
GCP experience is a must for this role
Experience with Big query, GCS, Dataflow and other tools and techniques used for building pipeline is a must
Good hands on experience in programming languages (e.g. Java and Python)\
Technical expertise with data models, data mining, and segmentation techniques
Hands-on experience with SQL and NoSQL database design
Great numerical and analytical skills
GCP Data engineering certification is a plus
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
TransUnion Job Title
Lead Engineer, Data Development