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    Data quality engineer - Dallas, United States - Qwalton

    Qwalton
    Qwalton Dallas, United States

    3 weeks ago

    Default job background
    Description

    VISA :
    USC, GC, H1B
    Note

    – Resource to be on-site from Day 1, looking for local profiles only & should take both L1 & L2 interviews in person


    Job Requirements:
    Must have Skills

    Extensive experience 8+ Years as a Data Engineer with Python Language and Cloud Technologies (AWS preferably).

    Experience 8+ in Automating ETL process/Pipelines and AWS Data & Infrastructure with Python.

    Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and SageMaker.

    Extensive Experience with SQL/Unix/Linux scripting.

    Developing/testing Experience on Cloud/On-Prem ETL Technologies (Ab Initio, AWS Glue, Informatica, Alteryx).

    Experience in Data migration from Onprem to Cloud is Plus.

    Experienced in large-scale application development testing – Cloud/On-Prem Data warehouse, Data Lake, Data Science.

    Extensive experience in DevOps/Data Ops space.

    Having experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O is a plus.

    Work Description SDET – Python, AWS, Unix and ETL.

    Work with business stakeholders, Business Systems Analysts, and Developers to ensure delivery of Data Applications.

    Building Automation Frameworks using Python.

    Designing and managing the data workflows using Python during the development and deployment of data products

    Design, and development of Reports and dashboards.

    Analyzing and evaluating data sources, data volume, and business rules.

    Should be well versed with the Data flow and Test Strategy for Cloud/On-Prem ETL Testing.

    Interpret and analyze data from various source systems to support data integration and data reporting needs.

    Experience in testing Database Applications to validate source-to-destination data movement and transformation.

    Work with team leads to prioritize business and information needs.

    Develop and summarize Data Quality analysis and dashboards.

    Knowledge of Data modeling and Data warehousing concepts with emphasis on Cloud/On-Prem ETL.

    Execute testing of data analytics and data integration on time and within budget.

    Troubleshoot & determine the best resolution for data issues and anomalies

    Has a deep understanding of data architecture & data modeling best practices and guidelines for different data and analytic platforms

    Nice to Have Skills

    Experience using Jenkins and Gitlab

    Experience using both Waterfall and Agile methodologies.


    • Experience in testing storage tools like S3, HDFS
    • Experience with one or more industry-standard defect or Test Case Management Tools
    Soft Skills

    Great communication skills (regularly interacts with cross-functional team members)

    Who takes Ownership to complete the tasks on time with less supervision

    Guiding developers and automation teams in case of an issue

    Monitoring, reviewing, and managing technical operations

    Effective problem-solving expertise, troubleshooting, code debugging, and root cause analysis skills.

    #J-18808-Ljbffr
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