Job Description: Years of Experience : 6-10 Years Key Responsibilities Design, build, and optimize scalable ETL/ELT data pipelines across GCP. Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation. Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm. Integrate with external APIs to ingest datasets into BigQuery and other storage layers. Implement event-driven and real-time data processing architectures. Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build. Ensure optimal performance, scalability, and cost efficiency of pipelines and data infrastructure. Establish and enforce data quality, governance, lineage, and security standards. Work closely with cross-functional teams to convert business needs into scalable data solutions. Maintain detailed technical documentation and contribute to engineering best practices. Must have skills Proven experience building modular, scalable ETL/ELT pipelines. Hands-on expertise with GCP services such as BigQuery, Cloud Functions, Cloud Run, Cloud Composer, GCS, and Pub/Sub. Hands-on Experience in Airflow Ability to design and implement real-time event-driven architectures using Pub/Sub and Eventarc. Experience integrating and consuming REST APIs for data ingestion. Strong understanding of data governance, quality, privacy, and security practices. Experience automating builds and deployments using CI/CD pipelines (Cloud Build preferred). Ability to collaborate effectively with data science, product, engineering, and compliance teams. Strong proficiency in Python with solid OOP principles, including encapsulation, inheritance, polymorphism, abstraction, SOLID, and design patterns. Strong problem-solving, debugging, and system design skills. Education Qualification 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 - Pune - Indiqube Orchid Brand: Merkle Time Type: Full time Contract Type: Permanent Can’t find a suitable job? Sign up for job alerts tailored to your interests and be first in line for new opportunities. About dentsu For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us Who we are Our Social Impact Our work

GCP Data Engineer.

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