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    Sr. Software Engineer - Pune, India - YASH Technologies

    YASH Technologies
    YASH Technologies Pune, India

    1 month ago

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    YASH Technologies background
    Description
    Job Description

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    About role


    The IDQ Developer assists the IDQ Lead in designing and enhancing the master data component of the Enterprise Solution Architecture.

    He will work with other developers and a lead on specific projects around MDM and Data Quality.
    The position requires close collaboration with other Data technology groups (Delivery, Architecture, Integration Governance, Operations, Support and Services) to understand MDM requirements

    Key responsibilities


    Assists IDQ leads & Architects in the development of the enterprise MDM data model Develops efficient and tuned data pipelines as per the project data models Evaluates and recommends new and emerging MDM/DQ technologies, methodologies and standards Ensures consistency and compatibility with all other system technology components Assists in developing the MDM data model and architecture Utilizes a data modeling tool to develop "blueprints" for the Conceptual Data Model of the MDM architecture Implements enterprise conceptual models to integrate master data from diverse data sources into conformed, high quality, and referentially sound enterprise master data model.

    Implements master data modeling standards that includes naming standards, data quality indicators, data categorization, ETL attribute usage, data consistency and reuse, data quality.

    Implements logical master data models using the data modeling tool for all layers in the MDM technical architecture framework or a DQ Dashboards.

    Mitigates performance implications of various data modeling and architecture decisions at the logical and physical layer as related to ETL, ad hoc query access, and static reporting.

    Reviews and validates master data models with stakeholders and subject matter experts.

    Qualifications and Requirements

    Essential qualifications

    5 years of experience in data quality development is required. 3 years of experience in data integration or data management development.

    3 years of experience in data warehousing required Working understanding of PowerBI or similar in memory analysis tool is preferred.

    Experience with Agile development methodologies and concepts preferred.

    Experience with the following disciplines is preferred:

    Data Warehousing, EAI, Metadata Management, Master Data Management (implementation and data stewardship), Data Quality Management, Relational Databases, Dimensional Databases, Semantics, Data Lifecycle Management, SQL, PL/SQL, UML, XML.

    Common Oilfield Operation procedures and the processes and procedures utilized to carry out Business Systems Good written communication and meeting facilitation skills.

    Excellent written communication and meeting facilitation skills required

    Key competencies in data science technologies

    Upon entry, intermediate level of understanding in:
    Data requirements Data quality and compliance e.g. scorecard management Data management principles Business process management Data stewardship, strategy and governance Data factory capabilities Data warehousing and business intelligence support Rules (both DQ and MDM rules) Mappings

    Other skills and abilities


    Organized analytical thinker Conscious of data quality Good communication skills Good teaming skills Creative and innovative Customer focused Technologies preferred Strong experience with Informatica IDQ (Developer & Analyst), Strong experience with Informatica IICS Data Integration Exposure to Informatica MDM, Rundeck, Informatica environment in Azure or Google Cloud PlatformAt YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.

    We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

    Our Hyperlearning workplace is grounded upon four principlesFlexible work arrangements, Free spirit, and emotional positivityAgile self-determination, trust, transparency, and open collaborationAll Support needed for the realization of business goals,Stable employment with a great atmosphere and ethical corporate culture

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