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    Cloudsufi - Principal Data Engineer - Google Cloud Platform - noida, India - Cloudsufi India Private Limited

    Cloudsufi India Private Limited
    Cloudsufi India Private Limited noida, India

    1 day ago

    Default job background
    Technology / Internet
    Description

    About Us :

    CLOUDSUFI is a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

    Our Values :

    We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

    Diversity and Inclusivity :

    CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation and national origin status. We are dedicated to providing equal opportunities in employment, advancement, and all other areas of our workplace.

    Role Overview

    We are seeking a dynamic and highly skilled Principal Data Engineer who has extensive experience building enterprise-scale data platforms and lead these foundational efforts. This role demands someone who not only possesses a profound understanding of the data engineering landscape but is also at the forefront of their game. The ideal candidate will contribute significantly to platform development with a diverse skill set while also being very hands-on coding and actively shaping the future of our data ecosystem.

    What We Are Looking For :

    Responsibilities :

    • As a senior/principal engineer, you will be responsible for ideation, architecture, design and development of new enterprise data platform. You will collaborate with other cloud and security architects to ensure seamless alignment within our overarching technology strategy.
    • Architect and design core components with a microservices architecture, abstracting platform, and infrastructure intricacies.
    • Create and maintain essential data platform SDKs and libraries, adhering to industry best practices.
    • Design and develop connector frameworks and modern connectors to source data from disparate systems both on-prem and cloud.
    • Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices while keeping costs in check.
    • Architect and design the best security patterns and practices
    • Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
    • Collaborate with data scientists, analysts, and cross functional teams to design data models, database schemas and data storage solutions.
    • Design and develop advanced analytics and machine learning capabilities on the data platform.
    • Design and develop observability and data governance frameworks and practices.
    • Stay up to date with the latest data engineering trends, technologies, and best practices.
    • Drive the deployment and release cycles, ensuring a robust and scalable platform.
    Requirements :
    • 10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, broader data landscape experience and exposure and solid software engineering experience.
    • Prior experience architecting and building successful enterprise scale data platforms in a green field environment is a must.
    • Proficiency in building end to end data platforms and data services in GCP is a must.
    • Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub.
    • Experience with Microservices architectures - Kubernetes, Docker and Cloud Run
    • Experience building Symantec layers.
    • Proficiency in architecting and designing and development experience with batch and real time streaming infrastructure and workloads.
    • Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
    • Hands-on experience with GCP ecosystem and data lakehouse architectures.
    • Strong understanding of data modeling, data architecture, and data governance principles.
    • Excellent experience with DataOps principles and test automation.
    • Excellent experience with observability tooling: Grafana, Datadog.
    Nice to have :
    • Experience with Data Mesh architecture.
    • Experience building Semantic layers for data platforms.
    • Experience building scalable IoT architectures
    Non-Technical/ Behavioral competencies required :
    • Must have worked with US/Europe based clients in onsite/offshore delivery model
    • Should have very good verbal and written communication, technical articulation, listening and presentation skills
    • Should have proven analytical and problem solving skills
    • Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills
    • Should be a quick learner, self starter, go-getter and team player
    • Should have experience of working under stringent deadlines in a Matrix organization structure
    • Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in past organizations
    )
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