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    Sr. Data Engineer Hybrid - Wilmington, United States - CyberTec

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    Description

    Job Title: Senior Data Engineer - Hybrid (Local Preferred)
    Company: Confidential

    Location: Charlotte, NC (hybrid in office)
    Job Type: Hybrid
    Duration: 12+ months
    Openings: 1

    Ensure the candidate is thoroughly assessed before submission.

    About the Role:
    The project focuses on supply chain network planning to optimize channels.

    Skill Requirements:
    Mandatory Skills: Hadoop, Hive, HBase, ETL, Spark, and Talend
    Secondary Skills: Java

    Job Description:
    Responsibilities include maintaining and migrating ETL Talend jobs to Spark, managing Hadoop Jobs, and redesigning data streaming from legacy systems using Java.

    Qualifications:

    • Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience)
    • 7-8 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, or Software Engineering
    • 4 years of experience in projects involving solution implementation using SDLC

    Skills & Abilities Good to Have:
    • Experience with cloud managed services for Client/Ops tech stack like Vertex AI, Client OPS, etc.
    • Familiarity with feature engineering tools/techniques such as PCA, featureTools, Pyfeat, etc.
    • Proficiency in model development using collaborative filtering or look-alike models
    • Effective communication and data presentation skills with the ability to convey data-driven stories
    • Quick adaptability to new technologies, tools, and techniques
    • Flexibility, responsiveness, and the capacity to excel in fast-paced environments
    • Collaborative work capability with both technical and non-technical team members

    Preferred Qualifications:
    • Master's Degree in Computer Science, CIS, or related field
    • 5 years of IT experience developing and implementing business systems
    • Experience with defect or incident tracking software for 5 years
    • Proficient in writing technical documentation in software development contexts for 5 years
    • 3 years of experience with IT Infrastructure Library (ITIL) framework
    • Leadership experience of 3 years, with or without direct reports
    • 5 years of involvement with source code control systems
    • Experience with Continuous Integration/Continuous Deployment tools
    • 5 years of systems analysis experience, defining technical requirements, and high-level design for complex solutions

    Data Engineering Requirements:
    • 7 years of specific experience in Hadoop or Cloud Bigdata components
    • Proficiency in Java/Scala/Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka, or equivalent Cloud Bigdata components



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