Job SummaryWe are looking for a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data ecosystems. This role is critical in enabling data-driven decision-making by developing high-performance data pipelines, ensuring data reliability, and supporting enterprise-wide analytics initiatives.You will work closely with cross-functional stakeholders including data scientists, analysts, and business teams to translate business requirements into robust data solutions.Key ResponsibilitiesData Engineering & ArchitectureDesign, build, and maintain scalable and high-performance data pipelines on GCP.Develop and manage modern data architectures to support batch and real-time processing needs.Implement reusable frameworks to standardize data ingestion and transformation processes.GCP-Based Data IntegrationLeverage GCP services such as:DataflowBig QueryPub/SubCloud StorageCloud SQL / Fire storeBuild and optimize data integration workflows ensuring efficiency and scalability.Data Management & OptimizationOptimize storage and query performance across GCP data platforms.Ensure cost optimization, performance tuning, and scalable data design.Quality, Governance & SecurityImplement robust data quality checks, validation frameworks, and monitoring mechanisms.Ensure adherence to data governance, security, and compliance standards.Collaboration & Stakeholder ManagementPartner with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights.Translate business problems into technical data solutions.Operations & ReliabilityMonitor, troubleshoot, and ensure high availability and performance of data pipelines.Implement logging, alerting,



and observability frameworks.Leadership & MentoringProvide technical leadership and mentorship to junior engineers.Drive best practices in coding, architecture, and deployment.Continuous ImprovementStay updated with the latest GCP innovations and data engineering best practices.Proactively recommend improvements to enhance system performance and scalability.Required Qualifications & SkillsEducation & ExperienceBachelor’s or master’s degree in computer science, IT, or related field5-6 + years of experience in data engineering, with robust exposure to GCPSkill RequirementsCore Technical Skills (Must Have)Strong hands-on experience with:Dataflow, Big Query, Pub/SubCloud Storage, Cloud SQL, Fire storeExpertise in:ETL/ELT processesData warehousing & data modelingStrong programming skills:Python, SQLKey CompetenciesStrong analytical and problem-solving skillsAttention to detail and commitment to data accuracyAbility to work independently and in cross-functional teamsExcellent communication and stakeholder management skillsPreferred (Good-to-Have) SkillsGCP Certifications (Professional Data Engineer / Cloud Architect)Experience with Big Data technologies (Hadoop, Spark)Exposure to Machine Learning / AI workflowsFamiliarity with DevOps practices & CI/CD pipelinesOther RequirementsSkill Evaluation MatrixSkill AreaMandatoryExpected Proficiency (0–5)Data Pipeline ArchitectureYes5GCP Services (Dataflow, Big Query, Pub/Sub etc.)Yes5Data IntegrationYes4Data Storage OptimizationYes4Data Quality & SecurityYes4Programming (Python, SQL)Yes4Stakeholder CollaborationYes3Monitoring & TroubleshootingYes3Leadership & MentoringYes3ETL & Data WarehousingNo3Big Data (Hadoop/Spark)No3DevOpsNo2

📌 Gcp Senior Data Engineer (Pune)
🏢 HCL
📍 Pune