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Gurgaon

    Data Architect - gurugram, India - Nityo Infotech

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    Description
    Customer Service , Communication , Coaching , Engineering , Integration , Management , Strategy , Training , Troubleshooting , Testing , ACT , Advisor , Agile , Aligning , Analytics , Applications , Architecture , Azure , Barriers , Based , Best Practices , Building , Business , CDP , Client , Coaching , Combination , Commitments , Communication , Compliance , Contact , Continuous Integration , Contribute , Create , Culture , Customer , Customer Acquisition , Customer Service , Customer Service Excellence , Cycle , Data , Data Architecture , Data Engineering , Data Feeds , Data Infrastructure , Data Management , Data Models , Data Quality , Data Science , Definition , Deliverables , Delivery , Department , Design , Design Patterns , Design Teams , Dimensions , Direct , Drive , Driving , ETL , Efficiency , Employees , Engagements , Engineering , Engineers , Evaluation , Events , Excellence , External , Epic , Factory , Feature , Features , Feeds , Flexible , Focus , Follow , Foster , High Quality , Improvement , Inception , Indirect , Infrastructure , Integration , Integrations , Interpersonal , Janus , Key Relationships , Legislation , Level , Life , Lifecycle , Location , Maintain , Management , Mentor , Meta , Metrics , Modelling , Models , Operational , Operational Efficiency , Organisations , Patterns , Performance Metrics , Personnel , Phases , Pipeline , Pipelines , Platforms , Point , Principles , Product Engineering , Production , Purpose , Re , Relevant , Reports , Requests , Resolve , Resolve Issues , Responsible , Schema , Science , Sound , Sources , Stakeholders , Story , Strategy , Strong , System , Team Members , Technical Issues , Technology , Testing , Training , Troubleshooting , Understanding , Unit , Unit Testing , Data Modelling , Data Pipelines

    Experience Required

    Years

    Industry Type

    IT

    Employment Type

    Permanent

    Location

    India

    Roles & Responsibilities

    Work with the Marcelu2019s data,u00a0product and engineering teams to deliver on all requests pertaining to Data, Features, Graph Schema, Feeds and Integrations, Data Science Models and other data management related requirements., Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.., Assist With data-related technical issues and support their data infrastructure needs.., Responsible for overall Data Architecture of the platform, Responsible for leading the team of data engineers to build data pipelines using a combination of Azure Data Factory and Databricks, Responsible for training and development of team members, Responsible for the design and architecture of feeds and data integrations, Responsible for sign off of deliverables, Responsible for establishing best practices and standards


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