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    Data Engineer - Delhi, India - WovV Technologies

    WovV Technologies
    WovV Technologies Delhi, India

    23 hours ago

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    Description

    Job Description :
    Data Engineer


    Location :
    Remote

    Experience : 5+ years.

    Durations : 6 months with a very likely extension

    Mandatory Technology :
    DBT, SQL, Snowflake,data integration practices, and Tableau

    Primary Skills :

    Expertise in transaction refunds and a comprehensive understanding of tax and VAT rule engines will be considered a significant advantage.


    Shift Details :
    UK shift


    Roles and Responsibilities :

    • Engineering, upgrading, and overseeing data flow systems to ensure efficient data migration into diverse storage systems.
    • Constructing and upholding solutions for data warehouses and data lakes.
    • Forging and implementing data structures that cater to a variety of business needs.
    • Scripting proficient and robust codes using languages such as SQL.
    • Spearheading data solution design with an emphasis on quality, automation, and performance.
    • Managing and enhancing data platform pipelines for reliability and scalability.
    • Guaranteeing that data is accessible in a condition and time frame that suits business and analytical needs.
    • Collaborating with the Data Governance team to ensure adherence to regulations like GDPR and CISO policies, and integrating data quality directly into conduits.
    • Engaging with interdisciplinary teams to comprehend data necessities and providing assistance for datacentric projects.
    • Engaging with stakeholders and clients, addressing their data needs with tailored solutions.
    • Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective communication.

    Required Skills and Experience :

    • Extensive experience leading transformations of cloud data platforms.
    • Demonstrated success in deploying largescale data and analytical solutions in cloud environments.
    • Handson proficiency in creating comprehensive data pipelines on DBT.
    • Deep understanding of contemporary data architectures (Data Lake, Warehouse, and Lakehouse).
    • Solid comprehension of data architecture and data modeling techniques.
    • Efficient management of data pipelines from a cost perspective.
    • Familiarity with CI/CDdriven data pipelines and infrastructure.
    • Agile delivery methodology using Scrum and Kanban frameworks.
    • Ability to independently scope, estimate, and deliver tasks on time within an agile framework.
    • Proactive in enhancing data processes.
    • Inherent drive to learn and adopt new skills and technologies.
    • Capability to excel in a rapidly evolving setting.
    • Proficiency in managing projects efficiently and addressing challenges collaboratively.
    • Driven by goals and a resultfocused mindset.
    • Detailoriented with thoroughness.
    • Strong communication skills, competent in presenting, informing, and guiding others.
    • Aptitude for bridging the gap between technical and businessfocused groups.
    • Comfortable engaging with individuals at all organizational levels.)
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