Developer Standard III

Mindlance

  • Washington, DC
  • 4 days ago

    Highlights

    In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc. Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.

    Numbers & Facts

    LocationWashington, DC

    Description

    Role: Developer Standard III
    Location: Washington, DC
    Duration: 6+ Months Long Term
    Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.

    Job Details:
    • Overall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.
    • 8 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
    • Expertise on Azure platforms including Azure Databricks, ADLS, and its various components.
    • In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc.
    • Expertise on Azure platforms including Azure Databricks and its various components, including Delta Lake.
    • Strong understanding of data architecture and data management principles.
    • In-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory.
    • Hands on experience on Function apps , Event Hubs, Web apps, API M.
    • Good have to experience on Migration to Salesforce
    • Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
    • Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.
    • Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.
    • Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
    • Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
    • Deep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse engineer complex legacy implementations .
    EEO:

    Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

    Similar Jobs

    See more jobs