
Staff Data Engineer
Come join our dynamic team at Experian as a Staff Data Engineer! As a global leader in data and analytics, we are looking for a highly skilled individual to help us drive innovation and deliver actionable insights for our clients. Our ideal candidate is passionate, driven, and has a strong background in data engineering. If you have a love for problem-solving and a desire to make a meaningful impact, we want you on our team. Read on to learn more about the qualifications and responsibilities for this exciting opportunity.
- Develop and maintain a robust and scalable data infrastructure to support our global data and analytics platform.
- Design, implement, and optimize data pipelines for efficient data ingestion, processing, and storage.
- Collaborate with cross-functional teams to identify and understand data requirements and develop solutions to meet business needs.
- Work with data scientists to ensure data accuracy, completeness, and reliability for advanced analytics and machine learning applications.
- Perform data quality checks and implement data governance processes to maintain data integrity.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay updated on industry trends and best practices in data engineering to continuously improve our data infrastructure and processes.
- Mentor and train junior data engineers on data engineering principles and best practices.
- Contribute to the development of data engineering standards, policies, and procedures.
- Communicate complex technical concepts to non-technical stakeholders and work with them to understand and address their data needs.
- Collaborate with other data engineers to continuously improve data engineering practices and drive innovation.
- Participate in code reviews and provide constructive feedback to ensure high-quality, maintainable code.
- Take ownership of data engineering projects from conception to production deployment.
- Adhere to data security and privacy policies to ensure data protection and compliance.
- Actively contribute to a positive and collaborative team culture, promoting knowledge sharing and learning.
Bachelor's Degree In Computer Science, Data Engineering, Or A Related Field
Experience In Designing And Implementing Large-Scale Data Pipelines And Etl Processes
Proficiency In Programming Languages Such As Python, Java, Or Scala And Sql Databases
Knowledge Of Cloud-Based Data Technologies Such As Aws, Azure, Or Gcp
Strong Analytical And Problem-Solving Skills, With The Ability To Work With Complex Data Sets And Identify Patterns And Trends
Business Intelligence
Data Analysis
SQL Programming
Database Management
Data Modeling
Machine Learning
Data warehousing
Cloud Computing
Data integration
ETL Development
Big Data technologies
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Staff Data Engineer in Hyderabad, Telangana, India is between ₹900,000 to ₹1,500,000 per year. This may vary depending on factors such as the company, experience, and skills of the individual.
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Experian plc is an Irish-domiciled multinational consumer credit reporting company. Experian collects and aggregates information on over one billion people and businesses including 235 million individual U.S. consumers and more than 25 million U.S. businesses.

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