ETL Engineer - Austin, United States - Allied Consultants (Texas)

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    Description
    OverviewAllied Consultants, Inc.

    is an Austin-based firm which has for 32 years been a premier provider of technical and business professionals to clients in Texas.

    We are currently seeking an experiencedETL Engineerto be a key resource on a technical services team.

    Allied Consultants offers its family of consultants excellent rates, a local support staff, and an attractive benefits package which includes medical insurance (Allied shares a percentage of the cost), life insurance, a matching 401(k) plan and a cafeteria plan.

    Candidates selected for interview will be required to undergo criminal background checks and may be required to complete a drug screen in accordance with Federal and State Law.

    Offers of Employment are contingent on a successful background checkAllied Consultants is an equal opportunities employer.
    ResponsibilitiesThe ETL engineer will support a cloud-based analytics platform based on AWS using Informatica Power center and Snowflake.

    In addition to the skills listed, experience with other Informatica tools such as MDM, Axon, and EDC will be preferred.

    Knowledge of Python will be preferred.


    QualificationsMinimum Requirements:

    Candidates that do not meet or exceed theminimumstated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

    YearsRequired/PreferredExperience10RequiredETL experience in Informatica tools or similar technology8RequiredExperience Working on Data Warehousing projects8RequiredExperience working on Enterprise Scale database solutions, such as Oracle, SQL Server, Snowflake, and similar8RequiredExperience in Agile or Scrum5PreferredExperience with Informatica PowerCenter preferred5PreferredExperience with Business Intelligence or Reporting tools such as Tableau, PowerBI, Crystal Reports, SSRS, or similar.4PreferredExperience creating data models, including star and snowflake schema strongly preferred.

    This should include both Physical and Logical Data models.4PreferredExperience with cloud platforms such as AWS, Azure or similar strongly preferred3PreferredExperience with Python2PreferredExperience with Snowflake Cloud Database#J-18808-Ljbffr