# Senior Data Engineer (GCP Cloud)**About Company**Naveera is a trusted global engineering partner delivering Data Engineering, Generative AI, Application Development and IT Infrastructure solutions. With over 15 years of experience in IT services and consulting. we help organizations transform raw data into deployable business value.Our approach emphasises Production over Pilots we dont stop at proof-of-concepts; we engineer systems that go live, scale reliably, and deliver measurable outcomes. With our CoE-driven delivery model, product engineering DNA, and a scalable talent acquisition engine, we align deeply with enterprise demands for performance, compliance, continuity and innovation.From Digital Health to Financial Services, and E-Commerce to Technology, we serve a diverse industry base and back every engagement with proven frameworks, low-attrition teams and agile global delivery. At Naveera, we empower clients to turn challenge into growth, data into insight and concepts into platforms.**Specialties**Data Engineering & Modern Data Stack, Generative AI Solutions & Model Deployment, Application Development (Web, Mobile & Enterprise), Artificial Intelligence (Predictive, Conversational, Computer Vision)**Job Title: Senior Data Engineer (GCP Cloud)** **Experience: 5 to 15 Years** **Job Location: Madurai, Tamil Nadu, India** **Shift: 2:00 PM 11 PM IST** **Working Mode: Remote/Hybrid** **Job Type: Full-Time****Role Overview**We are seeking a skilled and motivated Data Engineer to design, build, and optimize scalable data pipelines and workflows on Google Cloud Platform (GCP). The ideal candidate will play a critical role in enabling efficient data ingestion, transformation, and governance to support analytics and machine learning initiatives.**Key Responsibilities** **Data Engineering & Pipeline Development** Design, develop, and optimize data ingestion and transformation pipelines to onboard new clients into the LOS system. Build and maintain batch and streaming data pipelines using GCP services. Ensure high performance, scalability, and reliability of data workflows.**Data Quality & Governance** Implement and enforce data quality frameworks, including validation, deduplication, and lineage tracking. Manage structured and unstructured data workflows with strong governance practices. Integrate governance tools such as Dataplex for data cataloging and compliance.**Collaboration & Data Enablement** Work closely with ML Engineers and Data Scientists to deliver high-quality datasets for training and evaluation. Support data-driven decision-making by ensuring timely and accurate data availability.**Automation & Operations** Automate deployment, monitoring, and troubleshooting of data pipelines. Build robust monitoring solutions to ensure system reliability and quick issue resolution.**Technical Skills & Requirements Cloud Data Engineering (GCP)** Strong experience with: BigQuery (schema design, partitioning, clustering, query optimization) Pub/Sub for event-driven data ingestion Dataflow / Apache Beam for ETL/ELT pipelines Cloud Composer (Airflow) for workflow orchestration Cloud Storage for raw and staging data management**Programming & Data Processing** Proficiency in: Python (pandas, pyarrow, fastavro) SQL (advanced queries and performance tuning) Experience with: Apache Spark / PySpark (preferred)**Deployment & Automation** Hands-on experience with: CI/CD pipelines (Azure DevOps preferred) Infrastructure as Code (Terraform) Docker for containerization**Monitoring & Operations** Experience with: Cloud Logging / Stackdriver for monitoring and alerting Pipeline performance monitoring and troubleshooting**Preferred Qualifications** Experience working in data-intensive environments or financial services domain Familiarity with data governance and compliance standards Exposure to ML data pipelines and feature engineering workflows Strong problem-solving and analytical skills**Soft Skills** Excellent communication and collaboration skills Ability to work in a fast-paced, agile environment Strong ownership mindset and attention to detail**What We Offer** Opportunity to work on cutting-edge cloud data platforms Collaborative and growth-oriented work environment Exposure to end-to-end data lifecycle and ML integration Competitive compensation and benefits