Summary:
As a Data Engineer, you will work closely with Product Managers, Data Architects, Solution Architects, Business Analysts, and fellow engineers to design, build, test, and maintain cloud-native data solutions on Google Cloud Platform (GCP). You will play a key role in transforming enterprise data into trusted, high-quality data assets that drive business insights and operational excellence.

Responsibilities:
Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform (GCP).
Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
Develop and maintain high-quality data models that support reporting, analytics, and AI use cases.
Ingest, transform, validate, and publish data from multiple enterprise source systems.
Collaborate with Product Managers, Business Analysts, Data Architects, and engineering teams to understand business requirements and deliver scalable data solutions.
Develop reusable data transformation components and adhere to established engineering standards and best practices.
Optimize data processing performance,



reliability, and cost efficiency.
Perform unit testing, data validation, and production support to ensure data quality and operational stability.
Participate in Agile ceremonies, including sprint planning, backlog refinement, and code reviews.
Document technical designs, data flows, and implementation details.

Required Qualifications:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
4+ years of experience in Data Engineering.
Hands-on experience developing data solutions on Google Cloud Platform (GCP).
Strong experience with:
Dataproc
BigQuery
SQL
dbt (Data Build Tool)
Robust knowledge of data modeling techniques, including dimensional modeling and analytical data warehouse concepts.
Experience building scalable ETL/ELT pipelines and processing large datasets.
Familiarity with software development best practices,

📌 Data Engineer (Bengaluru)
🏢 Aditi Consulting
📍 Bengaluru