Overview Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest tel…
Skills: Google Cloud Platform, Python, BigQuery, Cloud Spanner, Data Engineering
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Full-time
bachelor degree
Posted 46d ago
Apply by Aug 31
~40 hrs/week
Responsibilities
Design and implement scalable data pipelines and infrastructure using GCP-native services. Manage globally distributed transactional data with Cloud Spanner and optimize analytical workloads in BigQuery.
Requirements
Requires a bachelor's degree in a technical field and over 10 years of experience in data engineering. Candidates must possess deep expertise in Google Cloud Platform, Python, and large-scale data architecture.
Full job description
Overview
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
Looking for a seasoned GCP Data Engineer to design, build, and maintain large-scale data pipelines and infrastructure on Google Cloud Platform. You will work closely with data architects, analysts, and product teams to deliver reliable, performant, and cost-efficient data solutions.
Responsibilities
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
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 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 Mentor junior engineers and contribute to architectural decisions and best practices
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
10+ years of overall experience in data engineering or a related field 5+ years of hands-on experience on Google Cloud Platform Strong proficiency in Python for data processing, automation, and pipeline development Deep expertise in BigQuery — schema design, partitioning, clustering, query optimization, cost governance 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)
Preferred / Nice to Have 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
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider.
Connecting 1.1 billion people and 5.4 billion devices across the globe, Prodapt’s clients include Google, Amazon, PayPal, SoftBank, ServiceNow, Ciena, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more.
A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
Offices: No. 25 A&B, South Phase 5th cross street, Thiru Vi Ka Industrial Estate. Guindy, Chennai, Tamilnadu 600032, IN · Sarjapur Main Road, Vaishnavi Tech Park, Sy. No. 16/1 and 17/2, 5th floor, North Wing, Bengaluru East, Karnataka 560103, IN · Rajiv Gandhi Salai, No.283/4, 4th Floor, PrinceInfo City-II, Chennai , Tamil Nadu 600056, IN · Win Aoyama 942, 2-2-15 Minami-Aoyama, Synophic Japan Co. LTD, Minato-ku, Tokyo, JP · Grand Central Railway station, Sector 40, 10th floor, A wing, Tower 1, Seawoods, Navi Mumbai, Maharashtra 400 706, IN
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Based on 4117 listings with disclosed salaries, most software jobs in Texas pay between $95k–$221k per year. Individual offers vary with seniority, company size, and specialization.
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