Business Title Data Engineer Years of Experience Min 3 and max upto 7 Job Descreption We are looking for a highly skilled GCP Data Engineer with strong programming fundamentals and cloud-native architecture experience The candidate should have hands-on expertise in building scalable data pipelines on Google Cloud Platform integrating external APIs and applying software engineering principles to data workflows Must have skills 1 3 to 7 years of experience in data engineering with at least 1 years on Google Cloud Platform 2 Solid proficiency in Python including OOP principles modular design and clean coding standards 3 Hands-on with GCP services BigQuery Cloud Functions Cloud Run Cloud Build Dataform Pub Sub Eventarc Cloud Storage and Cloud Composer 4 Solid understanding of SQL data modeling and data warehousing concepts 5 Familiarity with CI CD pipelines Git-based workflows etc 6 Strong problem-solving skills and ability to work independently in a fast-paced environment Good to have skills 1 Familiarity with other Cloud technologies 2 Working experience on JIRA and Agile 3 Stakeholder communication 4 Microsoft Office 5 Cross functional team work internally and with external clients 6 Team Lead 7 Requirement gathering Key responsibiltes 1 Implement modular object-oriented Python applications for data ingestion and transformation 2 Strong Object-Oriented Programming skills Proficient in implementing scalable maintainable data pipelines using core OOP principles such as encapsulation inheritance polymorphism and abstraction Experienced in building modular systems with well-defined class hierarchies applying SOLID principles to ensure clean architecture and separation of concerns Skilled in leveraging design patterns to solve complex problems and enhance code readability and testability 3 Build and maintain ETL ELT pipelines using GCP services BigQuery Cloud Functions Cloud Run Cloud Composer and DataForm 4 Integrate with external APIs to extract and load data into BigQuery 5 Develop event-driven architectures using Pub Sub and Eventarc to trigger workflows and manage real-time data streams 6 Automate deployment and testing workflows using Cloud Build and CI CD pipelines 7 Optimize performance and cost of data processing and storage across GCP services 8 Collaborate with cross-functional teams to translate business requirements into scalable data solutions 9 Ensure data security governance and compliance across all pipelines and storage layers Education Qulification 1 Bachelor s or Master Degree or equivalent Degree Certification If Any 1 GCP Professional Data Engineer Certification 2 Snowflake Associate Core Shift timing 12 PM to 9 PM and or 2 PM to 11 PM - IST time zone Location DGS India - Bengaluru - Manyata H2 block Brand Merkle Time Type Full time Contract Type Permanent

📌 Data Engineer (Karnataka)
🏢 dentsu
📍 Karnataka