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Experian

Senior Data Engineer

Reposted 15 Days Ago
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In-Office
Hyderabad, Telangana
Senior level
In-Office
Hyderabad, Telangana
Senior level
The Data Engineer will develop data software, work with teams to define standards, and ensure project stakeholders are informed. Responsibilities include coding, testing, deployment, and providing technical guidance.
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Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

The Data Engineer will be responsible for development of data software applications, data platforms and data products. This Engineer will closely work with application engineers, data engineers, data scientists and CRM to design, document, develop, test and implement solutions. This engineer will work with other engineers, and individually contribute to the development including defining engineering standards, data analysis, data modeling, coding, testing/QA, code review, deployment, operational readiness, and agile management.

 

Responsibilities

  • Be a key contributor to deliver on-time, on budget, high value complex projects
  • Take technical responsibility for all stages and/or iterations in a software component
  • Specify and ensure the design and development of technology solutions properly fulfills all business requirements
  • Ensure project stakeholders receive regular communications about status of the work
  • Anticipate change management requirements and ensure effective solution adoption by ensuring appropriate knowledge transfer, training and deployment readiness
  • Document design approaches, code artifacts, communicate to and participate in knowledge sharing
  • Highly organized and adaptable to dynamic work schedule with effective time management and prioritization skills
  • Provide technical guidance to associates, colleagues and/or customers
  • Communicate difficult concepts and negotiate with others to adopt a different point of view
  • Interpret internal/external business challenges and recommend best-practices to improve products, processes, or services
  • Ability to work in multi-project environment and support multiple internal departments
  • Knowledge of industry best practice approach and standards
  • Ability to multi-task and effectively delegate tasks to teams

 

Qualifications

 

  • Computer Science Degree or equivalent
  •  6 to 8 years of working experience in a commercial software development environment
  • 5+ years of experience as an engineer in data platform centric environments
  • Hands-on experience in Data Engineering
  • Extensive knowledge of data platform paradigms and software architecture
  • Experience with cloud development on the Amazon Web Services (AWS) platform with services including API Gateway, Lambda, EC2, ECS, SQS, SNS, Dynamo DB, Redshift and Aurora
  • Expert-level Pyspark, Python & SQL skills
  • Ability to comprehend and implement detailed project specifications as well as the ability to adapt to various technologies and simultaneously work on multiple projects
  • Strong problem-solving skills of different complexities required
  • Excellent proactive communications and planning skills

Qualifications

Qualifications

  • Computer Science Degree or equivalent
  • 6 to 8 years of working experience in a commercial software development environment
  • 5+ years of experience as an engineer in data platform centric environments
  • Hands-on experience in Data Engineering
  • Expert-level Pyspark, Python & SQL skills
  • Strong problem-solving skills of different complexities required and Excellent proactive communications and planning skills

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Top Skills

Api Gateway
Aurora
AWS
Dynamo Db
Ec2
Ecs
Lambda
Pyspark
Python
Redshift
Sns
SQL
Sqs

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