Lead Data Engineer

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Bengaluru, Karnataka
Hybrid
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role

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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

What the Team is Saying

Patrick
Tiana
Jason
Lauren
TC
Jay
Aayushi
Paul

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The Company
HQ: Chicago, IL
13,000 Employees
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace.

We do this by having an accurate and comprehensive picture of each person.

This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world.

Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.

We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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