GCP Data Engineer
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Role details
Tech stack
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Job description
Highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment., Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasetsto support high-volume reporting, business analysis, and data science model development.
- Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics
- Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaminganalytics.
- Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.
Requirements
- Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:
BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment. Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub
- Programming & Querying:
Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
- Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
- DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.
Soft Skills
- Excellent communication
- Team collaboration
- Documentation and knowledge sharing
Education Requirements Bachelor’s/Master’s in Computer Science or equivalent (can be marked optional or flexible)
Certifications GCP Data Engineer
Mandatory Skills: GCP Cloud PaaS Google Cloud Platform .
Experience: 3-5 Years .
Benefits & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Dental insurance
- Disability insurance, The expected compensation for this role ranges from $45,000 to $121,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
About the company
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
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