GCP Data Pipeline Engineer

About Client :-Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations. The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organisations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing services.Job Details:-location : Bangalore Mode Of Work : Hybrid Notice Period : Immediate Joiners Experience : 6-8 yrs Type Of Hire : Contract to HireJOB DESCRIPTION:About the Role We are looking for a highly skilled Data Pipeline Engineer with strong experience in Google Cloud Platform (GCP) to design, develop, and optimize data integration pipelines that move and transform data, specifically from BigQuery to AlloyDB. The ideal candidate will have a deep understanding of data orchestration, automation, and ETL/ELT frameworks on GCP, and will be comfortable working in a dynamic environment where data models, performance requirements, and architecture evolve over time. The candidate should be able to understand the solution design, and make changes to it as per the requirement. This role is hands-on and cross-functional — working closely with solution architects, data analysts, and application teams to ensure seamless, secure, and efficient data flow across GCP components. Key Responsibilities • Design and Develop Data Pipelines o Design and build robust, scalable, and parameterized data pipelines to move data from BigQuery ? Cloud Storage ? AlloyDB. o Leverage Cloud Composer (Airflow), Cloud Functions, EventArc, and Pub/Sub to orchestrate and automate data movement. o Implement control schema to handle incremental and delta loads. • Data Orchestration and Scheduling o Create and manage DAGs in Cloud Composer 2 to schedule and monitor data workflows. o Develop asynchronous or parallel execution strategies to optimize pipeline performance under GCP constraints (e.g., AlloyDB single COPY process). • Architecture & Design Enhancement o Collaborate with solution architects to review and refine pipeline architecture. o Make design updates and code refactoring based on evolving data requirements, schema changes, or performance improvements. o Ensure pipelines align with GCP best practices, security, and cost optimization guidelines. • Performance Optimization o Tune BigQuery queries and AlloyDB import strategies for large datasets (terabytes of data). o Implement partitioning, batching, and retry mechanisms for high throughput and reliability. • Monitoring & Logging o Implement detailed logging, alerting, and monitoring using Cloud Logging, Cloud Monitoring, and Stackdriver. o Set up job-level and table-level audit trails for pipeline observability and troubleshooting. • Security & Compliance o Use Service Accounts, VPC Service Controls, IAM roles, and CMEK encryption to ensure data security and governance compliance. o Adhere to enterprise security policies and guardrails for data movement across GCP projects. Required Skills and Experience • 5+ years of experience in data engineering or cloud data integration roles. • Strong expertise in Google Cloud Platform (GCP), including: o BigQuery (SQL, views, partitioning) o AlloyDB / PostgreSQL (import/export, COPY operations) o Cloud Storage (buckets, lifecycle policies) o Cloud Composer (Airflow) o Cloud Functions, Pub/Sub, and EventArc • Proven experience building ETL/ELT data pipelines and automated workflows using GCP native tools or Python-based orchestration. • Proficiency in Python (Airflow operators, GCP SDK, REST API integration). • Strong SQL and database schema design skills. • Familiarity with asynchronous processing, retry handling, and GCP APIs for data import/export. • Understanding of data quality, lineage, and audit frameworks. Soft Skills • Excellent analytical and problem-solving abilities. • Strong documentation and communication skills. • Ability to adapt to changing requirements and propose alternative designs. • Collaborative mindset with cross-functional teams (architecture, security, operations). Sample Deliverables • End-to-end data movement pipeline from BigQuery to AlloyDB. • Configurable Cloud Composer DAG to orchestrate import jobs per table. • Python scripts or Cloud Functions with GCS ? AlloyDB import APIs. • Design documents and sequence diagrams reflecting data flow, control tables, and failure handling. • Monitoring dashboards and job logs in GCP console.