Back
Mid-level data engineer in Bangalore (4–6 yrs) with common skills, increasing applicant competition.
Requires specialized customer analytics, Adobe Analytics, and GCP data engineering skills, reducing cross-industry transferability.
Explicit 4–6 years plus mandatory GCP/BigQuery/Dataform and analytics experience enforces strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and maintain scalable data pipelines integrating Adobe Analytics clickstream data with enterprise systems like Salesforce and POS.
Develop and modernize ELT data transformation pipelines using Dataform and BigQuery, focusing on performance and scalability.
Create semantic data models and AI-ready datasets to support customer analytics, enterprise reporting, and GenAI initiatives including Gemini integration.
4 - 6 years of experience in cloud data engineering and analytics platform development.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Analytics, or related field.
Strong hands-on experience with GCP technologies especially BigQuery, SQL, and Dataform.
Experience with customer behavioral data (clickstream), Adobe Analytics or similar, and integrating enterprise systems such as Salesforce and POS.
Experienced with customer journey analytics and building customer 360 data platforms in domains like Retail, eCommerce, or Digital Commerce.
Proficient in semantic modeling and creating governed self-service analytic layers.
Familiar with AI-enabled analytics platforms, especially involving Gemini Enterprise, GenAI, and conversational analytics initiatives on GCP.