Big Data Developer

Responsibilities:
Building the InMobi Reporting Platform, dealing with terabytes of data.
Innovating new/unique ways to solve known and unknown problems.
Responsible for solving high-complexity issues at a system/domain/vertical level.
Responsible for resolution/escalations within the area of expertise.
Using independent judgment in the selection of alternative courses of action.
Requirements:
BS/MS in Computer Science or equivalent from a premier institute.
5 years of strong product development experience in building massively large-scale distributed internet systems and products.
Excellent Java/Scala and PySpark programming skills and expertise in multithreading and performance-oriented programming.
Working knowledge of Databricks, Delta Lake, Trino, ClickHouse, and GCS Storage.
Good experience in working with Hadoop and big data technologies like HDFS, Hive, Lens, Spark, and NoSQL systems.
Strong computer fundamentals and problem-solving skills.
Superior organization, communication, interpersonal, and leadership skills.
Experience and knowledge of open-source software, frameworks, and broader innovative technologies around server-side development in Java and Python.
Good organization, communication, and interpersonal skills.
Must be a proven performer and team player that enjoys challenging assignments in a high-energy, fast-growing startup workplace.
Must be a self-starter who can work well with minimal guidance and in a fluid environment.
Provide good attention to details.
Must be excited by challenges surrounding the development of a highly scalable and distributed system for building audience targeting capabilities.
Agility and ability to adapt quickly to changing requirements and scope and priorities.
Decent understanding of the cloud infrastructure.
Worked on AI/LLM tech like Gemini, OpenAI, and Claude, solving critical business-facing use cases.
Nice to have skills:
Experience in the online advertising domain.
Experience working on massively large-scale data systems in production environments.
Experience in leveraging user data for behavioral targeting and ad relevance.
Experience in the Big Data analytics domain.
Experience of building products that are powered by data and insights.

Experience
5-8 yrs