GCP Data Engineer
Abode Tech Zone
Job Title: GCP Data Engineer
Locations: Dallas, TX / Irving, TX / Basking Ridge, NJ
Employment Type: Contract / C2C
Experience Required: 12+ Years
Project Duration: 12 months Work Arrangement: Work from Client Office - 3 days a week Interview: Three rounds of Video interview Telecom domain experience is a plus.
Must have: Must have minimum 2 years of GraphQL schema work exp.
Must have minimum 2 years of GCP Spanner, Python and BigQuery work exp. Job Description: Key Responsibilities:
Locations: Dallas, TX / Irving, TX / Basking Ridge, NJ
Employment Type: Contract / C2C
Experience Required: 12+ Years
Project Duration: 12 months Work Arrangement: Work from Client Office - 3 days a week Interview: Three rounds of Video interview Telecom domain experience is a plus.
Must have: Must have minimum 2 years of GraphQL schema work exp.
Must have minimum 2 years of GCP Spanner, Python and BigQuery work exp. Job Description: Key Responsibilities:
- Design and manage the GraphQL schema
- Build highly optimized resolver functions that bridge the GraphQL schema directly to data warehouses
- Implement GraphQL Subscriptions to stream live data, event changes, or real-time metrics using message brokers like Apache Kafka
- Design and implement scalable data pipelines using GCP-native services (Dataflow, Dataproc, Pub/Sub, Cloud Composer/Airflow)
- Architect and optimize BigQuery datasets, tables, and queries for analytical workloads at scale
- Design and manage Cloud Spanner schemas for globally distributed, strongly consistent transactional data
- Build and maintain data models, transformations, and orchestration workflows using Cloud Workflows and related tools
- Develop backend data services and ETL/ELT scripts in Python
- Integrate and manage Firestore for real-time, document-oriented data use cases
- Implement data governance, lineage, and quality frameworks using tools like Dataplex or Data Catalog
- Collaborate on infrastructure-as-code using Terraform for GCP resource provisioning
- Monitor pipeline health, optimize costs, and troubleshoot production issues
- Redesign and optimize existing data pipelines and architectures as needed to ensure high performance and scalability.
- Oversee the end-to-end data delivery process , from ingestion to transformation and reporting.
- Perform code reviews , enforce best practices, and ensure the quality and consistency of the codebase.
- Manage workflows and scheduling with tools like Apache Airflow to ensure smooth execution of pipelines.
- Use GCP technologies like Dataflow, Apache Beam, BigQuery, Dataproc, and other services for data transformation, storage, and analysis.
- Develop scalable solutions with Apache Spark, Hadoop , and other distributed systems on GCP.
- Monitor and optimize the performance of data pipelines and processes.
- Collaborate with DevOps and Cloud teams for CI/CD integration and infrastructure optimization.
- Provide mentorship to junior engineers and manage the team's performance effectively.
- 12+ years of experience in data engineering with at least 5+ years on Google Cloud Platform (GCP).
- Must have minimum 2 years of GraphQL schema work exp.
- Must have minimum 2 years of GCP Spanner, Python and BigQuery work exp.
- Solid understanding of network/telecom domains , including relevant data types and use cases.
- Expertise in GCP tools, including:
- BigQuery for schema design, partitioning, clustering, query optimization, cost governance, data warehousing and analytics
- Dataproc for managing Apache Spark and Hadoop clusters
- Airflow for orchestration of workflows and pipelines
- Data streaming with Python
- Strong experience in Apache Spark and Hadoop ecosystems.
- Production experience with Cloud Spanner - schema design, interleaving, transaction patterns, and performance tuning
- Solid understanding of GCP data services: Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer
- Experience with Cloud Workflows for serverless orchestration
- Hands-on experience with Firestore (Native mode preferred) for NoSQL/document storage patterns
- Strong SQL skills and understanding of data warehousing concepts
- Experience with CI/CD pipelines (Cloud Build, GitHub Actions) and version control (Git)
- Ability to design, develop, and optimize ETL/ELT pipelines for large-scale data.
- Hands-on experience in data modeling and data architecture design .
- Strong problem-solving skills and ability to redesign existing solutions if needed.
- Excellent communication and interpersonal skills to collaborate with both technical and business teams.
- Bachelor's Degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
- Familiarity with real-time data streaming technologies.
- Experience with dbt for transformation layer on BigQuery
- Familiarity with streaming architectures (exactly once semantics, late data handling)
- Knowledge of data mesh or data Lakehouse patterns
- Exposure to Vertex AI or ML pipelines for MLOps workflows
- GCP Professional Data Engineer certification
Vacancy posted 3 days ago
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