Job responsibilities:
The Senior Data Engineer at Experian India will work on Decisioning Analytics North America software and platforms with a focus on security remediation. Additional work areas will also include technical debt improvements and the implementation new features. Applications supported will include Precise ID, Precise Match, IEN, Document Capture among others. This role will participate as a member of a DA Technology Scrum team to fulfill these objectives. They will be expected to function with a fair degree of autonomy taking high level direction from Leadership and Product teams.
- Build, design and optimize data pipelines, data warehouses and reporting frameworks.
- Work closely with our AI team to prepare data for predictive and prescriptive modeling.
- Implement effective data storage solutions and manage data in AWS environments.
- Utilize Kafka for real-time data processing.
- Ensure the integrity and privacy of data through secure design and implementation.
- Leverage AWS cloud services for scalable application deployment and management.
- Comfortable taking the lead and driving/coordinating major workstreams.
- Collaborate with cross-functional teams to deliver on project goals and innovate.
- Ensure code quality, security, and scalability through best practices and regular reviews.
- Decompose workstreams into modular pieces and mentor other more junior team members to accomplish.
- Integration and build of software releases and release planning.
- Participate in Agile development as a scrum team member.
- Analyze program performance and devise improvements.
- Troubleshoots complex problems and identify fixes.
- Escalate when appropriate when blocked or unable to resolve on their own.
Qualifications
- Bachelor’s or master’s degree in computer science, Data Science or related field or equivalent experience
- Strong prompt engineering skills and effective usage of AI code assistance.
- 5 to 8 years of experience with AWS services, Kafka, and data pipeline tools.
- 2 to 3 years of experience in Tableau data visualization
- Familiarity with ETL tools and pipelines, data warehousing and reporting software.
- Expertise in Oracle, SQL, NoSQL, and big data technologies (ex. Hadoop, Spark, Redshift).
- Experience with AI and machine learning data processing requirements.
- Strong analytical skills and the ability to work collaboratively across teams.
- Experience with Infrastructure-as-Code tools and approaches (we use Terraform)
- Strong knowledge of CI/CD pipelines, automation testing and test-driven development
- Excellent problem-solving abilities and strong communication skills.
You would be joining an agile delivery team which continues to refine their own processes and ways of working. You will find it easiest to understand the way we work if you have worked using agile delivery methods in the past.
A Senior Engineer not only delivers their own work, but also demonstrates the ability to bring up others around them, for example through activities such as onboarding other engineers into the team or mentoring less experienced engineers working with them. They are engaged in the tasks, opportunities and risks faced in and around their team.
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