Sr. SQL SERVER Developer with SSIS experience

Rapinno Tech

  • Dallas, Texas
  • 1 day ago

    Highlights

    Data acquisition and ingestion - Identify data sources and build pipelines using various ETL tools such as but not limited to, SSIS, and Alteryx. Expertise in Alteryx Admin /User management experience, advance workflow management with proper roles and security.

    Numbers & Facts

    LocationDallas, Texas

    Description

    VERY URGENT AND IMMEDIATE NEED.

    Note: Need Only US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, and TN Visa.

    Job Title: Sr. SQL SERVER Developer with SSIS experience
    Location: Dallas/Hidden Ridge, TX (2-3 days weekly onsite from Day 1)
    Duration: Long Term Contract

    Job Description:

    Need minimum 08+ years of experience SQL Server Developer with SSIS experience

    Must Have

    5+ years of SQL Server development experience.

    3+ years ALTERYX Admin /User management experience and advance workflow management.

    5+ years data modeling experience.

    5+ years of ETL experience.

    5+ years of experience in working on more than one database technologies Microsoft SQL server, Teradata.

    2+ years big data experience, Hadoop, Hive, Spark

    Expert knowledge of data warehousing.

    DESIRED SKILLS

    BI Lifecycle management

    Working understanding of Microsoft VBA, HTML, Python

    Data model development using ERWIN

    Responsibilities:

    Data acquisition and ingestion - Identify data sources and build pipelines using various ETL tools such as but not limited to, SSIS, and Alteryx. Data sources including but not limited to SQL Server, SAP, Teradata, Hadoop\Hive, PostgreSQL, Oracle and flat files.

    Identifying ways to improve data reliability, efficiency and quality by various data solution techniques.

    Expertise in Alteryx Admin /User management experience , advance workflow management with proper roles and security.

    Assist in defining the data architecture framework, standards and principles, including modeling, metadata, security and reference data.

    Create and optimize data models to support various business applications.

    Reviewing modifications of existing data systems for cross-compatibility.

    Automate and support workflows to ensure timely delivery.

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