Adobe Media and Data Science Research (MDSR) Laboratory
Noida, India
Azure databricks
Apache spark
Python for data processing
This role focuses on building and operating large-scale analytical data pipelines and analytics-ready data tables that power product adoption, usage metrics, experimentation (A/B testing), and executive dashboards across a massive monthly active user base
Job Summary
This role focuses on building and operating large-scale analytical data pipelines and analytics-ready data tables that power product adoption, usage metrics, experimentation (A/B testing), and executive dashboards across a massive monthly active user base.
You will work primarily on Azure Databricks, playing a key role in setting up and evolving our Databricks-based analytics data warehouse, including curated tables, metric foundations, and scalable data models.
Partner closely with product analysts, business analysts, data scientists, and product managers to enable reliable, self-serve analytics, supporting product-led growth use cases.
Matching Summary
This role focuses on building and operating large-scale analytical data pipelines and analytics-ready data tables that power product adoption, usage metrics, experimentation (A/B testing), and executive dashboards across a massive monthly active user base.
Skills & Requirements
Must-have
Azure Databricks
Apache Spark
Python for data processing
Expert-level SQL
Delta Lake optimization
Analytics-ready data models
Nice-to-have
GenAI / LLM capabilities
Streaming data pipelines
Product analytics experience
BI tools familiarity
Key Requirements
6–12 years of professional experience in Data Engineering
Bachelor’s degree or higher in Computer Science, Engineering, or related field
Strong experience with Microsoft Azure
Proven experience building production-grade analytical data pipelines at scale