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Azure Data Engineer (1385)

Sharp Decisions, Inc

  • Charlotte, NC
  • 5 days ago

    Highlights

    These roles will be part of the Data Strategy team spanning across the SMBC Capital Markets and Nikko securities teams, SMBC Americas Division's broker-dealer and swap-dealer entities. These roles will be involved in the active development of the data platform in close coordination with the SMBC team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.

    Numbers & Facts

    LocationCharlotte, NC
    IndustryStaffing/Employment Agencies
    Company Size500 to 999 employees
    Year Founded1990

    Description

    RESOURCE TYPE: W2 Only

    LOCATION: Hybrid - Charlotte, NC

    Experience Level: Senior (10+ Years)

    Role Objectives

    • These roles will be part of the Data Strategy team spanning across the SMBC Capital Markets and Nikko securities teams, SMBC Americas Division's broker-dealer and swap-dealer entities.
    • These roles will be involved in the active development of the data platform in close coordination with the SMBC team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
    • The consulting team will need to follow internal developments standards to contribute to the overall agenda of the Data Strategy team.
    • The implementation of this strategic platform on SMBC's Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.

    Qualifications and Skills

    • 10+ years of experience in software development using Python, PySpark and its frameworks.

    • Proven experience as a Data Engineer/Data Quality Engineer with experience in Azure cloud.

    • Experience implementing solutions using -

    • Azure cloud services

    • Azure Data Factory

    • Azure Lake Gen 2

    • Azure Databases

    • Azure Databricks

    • Data Quality Framework/Solution

    • Collibra Data Quality or any Data Quality tools (IDQ/IBM/Ab-Initio)

    • Collibra Data Governance and Data lineage knowledge.

    • Power BI

    • Well versed with Azure Databricks

    • Strong SQL skills with RDMS or noSQL databases

    • Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes

    • Good understanding of ETL/ELT processes

    • Experience in financial services industry, financial

    • instruments, asset classes and market data are a plus.

    #LI-NG1

    About Company

    For over two decades, Sharp Decisions has provided superior, award-winning service in strategic business and technology consulting services to government agencies at all levels, as well as domestic and global corporations. With subject matter expertise in Investment Banking, Finance, Healthcare, Media & Telecommunications, and Manufacturing, Sharp Decisions is well equipped to serve your needs.

    Established in 1990 with headquarters in New York City, and locations in Princeton, Charlotte, Los Angeles, Phoenix, Europe and Canada, Sharp Decisions has been the technology backbone for a client portfolio that includes an array of well-known companies. As a Certified Woman-Owned Business Enterprise and approved vendor, Sharp Decisions offers a powerful, cost-effective advantage. We actively partner with other MBEs to add value and meet diversity program requirements.

    Sharp Decisions is also committed to hiring and training post-9/11, tech-savvy U.S. armed forces veterans through our V.E.T.S.â„¢ (Vocation, Education and Training for Service members) Program, but we cannot do it alone. Companies like EmblemHealth, Freddie Mac and Experian have stepped up to bring aboard our highly qualified and skilled veterans. We need more companies like them to take a stand and bring our veterans aboard. Our clients have told us that our veterans are more effective than their college hires because two weeks on the job for them equates to 2-3 years of experience! Learn more at www.sharpdecisions.com/vetsprogram.

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