Our Mission
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(Comscore, Total Visits, March 2025)
Day to Day
The MDP Ingestion team manages the ingestion of data into the Marketplace Data Platform (MDP), ensuring various types of data (raw events, facts, externally-built features) are efficiently and reliably brought into MDP for downstream use in feature computation, machine learning, and data-driven applications.
Responsibilities
- Design, build, and maintain scalable, reliable, and high-performance software systems
- Contribute to system architecture and technical design, validating solutions through data and experimentation where appropriate
- Participate in code and design reviews to maintain high engineering standards
- Own and support applications during business hours, ensuring system health and reliability
- Use metrics, logging, and analytics to make data-informed decisions and improve system performance
- Collaborate closely with partners across engineering, product, data science, and design to deliver solutions
- Contribute to cross-team initiatives and support the growth of other engineers through mentorship and knowledge sharing
Skills/Competencies
- Bachelor's degree in Computer Science, Mathematics, Computer Engineering, Electrical Engineering, or related field and a minimum of 2 years of related experience; or an advanced degree without experience
- Knowledge of key technologies including Kafka, AWS, SQL/NoSQL, GraphQL, gRPC, Spring Boot, Spark, Flink or similar technologies.
- Proficiency in one or more modern backend programming languages (e.g., Java, Kotlin, or similar).
- Experience building and operating large-scale, high-performance, and resilient systems.
- Excellent communication and collaboration skills in English, with the ability to work effectively across teams.
- Curiosity and a willingness to learn, adapt, and take on new challenges.
Salary Range Transparency
Tier 3 - India 2,930,000 - 4,690,000 INR per year
Salary Range Disclaimer
The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role.
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Reference ID: 47051
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Work Location: Remote