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    ETL Developer - Los Angeles, United States - RIT Solutions, Inc.

    RIT Solutions, Inc.
    RIT Solutions, Inc. Los Angeles, United States

    1 week ago

    Default job background
    Description

    Role:

    ETL
    Developer


    L
    ocation:
    Los Angeles, CA- Remote

    Any visa is workable except Cpt


    Duration: 12+ Months


    Interview:
    Video


    Job Description:

    Data engineer will work closely with business stakeholders to
    help identify opportunities and architect data engineering and integration
    solutions. Engineer will be implementing technical solutions working with
    business intelligence, analytics, and data science team members.

    This position will provide overall technical solutions and
    design for Data Warehouse and Data Lake including data analysis, data
    architecture, data modeling, data feature engineering, data validation,
    ETL/ELT
    data pipeline design and development and building semantic layer for
    reporting and analytics. Additional areas include leading technical
    discussions, code reviews, solution documentation and defining overall best
    practice as related to data integration and data engineering.


    What you'll do:
    Lead technical data solutions, including custom development working with cross
    project teams in delivering projects.
    Define overall
    ETL/ELT architecture including key designs on integration standards
    such as loading real time/batch data, CDC, data validation, data enrichment
    etc.
    Architect solutions based on specific project requirements, considering best practices
    and performance standards while promoting reusability
    Building data model and semantic layer with automated data exception framework
    Ability to manage and participate as a senior Data Analyst gathering and analysis of
    source data, processing logic, and operational system usage.
    Responsible for the solution design, hands-on development, technical tasks oversight,
    release management and implementation of data products and features.
    Deep hands-on knowledge of data integration and data pipeline methodologies and API platforms
    Hands-on engineer working with other cross functional teams following agile
    methodologies.
    Analyze issues, reverse engineer where needed to come up with solutions to resolve
    issues in a timely manner
    Responsible for maintaining teams commitment to excellence and high standards in a
    collaborative environment
    Work with team to align solutions and data integration with business strategy and objectives.
    Apply broad in depth business and technical knowledge advance technical direction.


    Skill Set Requirements:
    6+ years in a direct role as a Developer / designer / architect for
    ETL, data
    warehouse and data lake systems.
    4+ years of solid data warehousing, integration methodology experience
    4+ Years - Data modeling experience to deliver both logical model & physical
    design for transaction and analytical systems.
    Candidate must have strong technical expertise in SQL and Snowflake.
    Must have advanced technical understanding with tools and products used in data
    warehouse and data integration development, such as Pyhton, Airflow, Glue, DBT, Workato
    Solid hands-on experience in data modeling, data feature engineering.
    Broad exposure in the new techniques in data warehousing and data integration technology
    Experience in data lake architecture and design
    Strong understanding of data architecture in WS cloud environment
    Able to communicate effectively with all levels of management in a clear and
    professional manner; verbally and written.
    Strong technical design and documentation skills
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