Job Summary The GCP Data Engineer will design, build, deploy, and optimize scalable data pipelines and analytics solutions on Google Cloud. The role is primarily focused on data integration, transformation, orchestration, modeling, quality, governance, performance, and reliable production delivery, supported by practical DevOps automation. The role requires 4+ years of relevant data engineering experience

Key Responsibilities

- Data pipeline engineering: Design and implement scalable batch and streaming ETL/ELT pipelines using Dataflow, Apache Beam or Spark, BigQuery, and Cloud Storage.
- Data integration: Integrate data from SQL Server, Couchbase, APIs, files, and event-driven sources into governed data warehouses, data lakes, or lakehouse platforms.
- Data transformation and modeling: Transform raw data into trusted, analytics-ready datasets using SQL, Python, dbt, and Dataflow; apply sound dimensional and analytical modeling practices.
- Orchestration: Build, schedule, monitor, and support workflows using Cloud Composer and appropriate Google Cloud services.
- Performance and cost optimization: Monitor and tune pipelines, queries, storage patterns, and compute usage for reliability, throughput, scalability, and cost efficiency.
- Data quality and governance: Implement validation rules, reconciliation controls, observability, lineage, metadata, anomaly detection, and data-quality standards using Dataplex and related capabilities.
- Security and compliance: Apply least-privilege access, secure data handling, encryption, auditability, retention,



and privacy controls in alignment with organizational and regulatory requirements.
- DevOps and automation: Provision and manage Google Cloud resources with Terraform; create automated build, test, deployment, and release workflows using Cloud Build and source-control practices.
- Event-driven solutions: Use Pub/Sub, Cloud Functions, and Datastream where applicable for near-real-time ingestion, change data capture, and event-driven processing.
- Collaboration and delivery: Partner with data scientists, analysts, application teams, security, platform engineering, and business stakeholders to translate requirements into dependable data solutions.
- Documentation and standards: Maintain architecture diagrams, data mappings, runbooks, operational procedures, deployment documentation, and coding standards.
- Innovation: Track relevant Google Cloud data, DevOps, and AI platform developments and assess their practical application to enterprise data-engineering use cases.

Required Qualifications

- 4+ years of relevant experience in data engineering, including production delivery on Google Cloud.
- Solid proficiency in Python and SQL for data processing, automation, testing, and analytical querying.
- Hands-on experience with BigQuery, Cloud Storage, Dataflow,



Dataplex, and Cloud Composer.
- Experience with Apache Beam or Spark and distributed data-processing patterns.
- Practical knowledge of Terraform for reusable, version-controlled infrastructure as code.
- Experience building CI/CD pipelines with Cloud Build, including automated validation, testing, packaging, and deployment.
- Understanding of data warehouse, data lake, and lakehouse principles, including distributed data architectures and data modeling.
- Experience integrating SQL Server, Couchbase, REST APIs, and file or object-storage sources.
- Knowledge of data security, privacy, governance, observability, and compliance best practices.
- Strong troubleshooting, problem-solving, documentation, stakeholder communication, and delivery skills for complex projects and tight timelines.
- Google Cloud Professional Data Engineer certification.

Disclaimer: The following serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances . Please Note : We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.

📌 Consultant-GCP Data Engineer (Gurugram)
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📍 Gurugram