Lead Data Engineer

9 Minutes ago • All levels
Data Analysis

Job Description

We are looking for a Lead Data Engineer to tackle challenging problems and drive continual improvement. This role involves transforming raw data into useful data systems, creating algorithms, and conducting statistical analysis to align data systems with business goals. The ideal candidate will have strong analytical skills, the ability to combine data from different sources, familiarity with programming languages, and knowledge of machine learning methods.
Good To Have:
  • GCP Data engineering certification
Must Have:
  • Analyze 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 modeling
  • 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
  • Previous experience as a data engineer or in a similar role
  • GCP experience
  • Experience with BigQuery, GCS, Dataflow
  • Good hands-on experience in programming languages (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

Add these skills to join the top 1% applicants for this job

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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

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About Us

TransUnion is a global information and insights company with over 12,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace.

We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care.

Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics.

As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.

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