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    Senior Data Engineer - Chicago, United States - CNA

    CNA
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    Description

    You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

    CNA seeks to offer a comprehensive and competitive benefits package to our employees that helps them - and their family members - achieve their physical, financial, emotional and social wellbeing goals.

    For a detailed look at CNA's benefits, check out our Candidate Guide.

    An individual contributor role that provides a high level of expertise in the design, development, and integration of strategic, high-priority data applications across the entire software development lifecycle (Agile). This role may also provide guidance to others to support the building of complex technical capabilities.

    JOB DESCRIPTION:

    Essential Duties & Responsibilities

    Performs a combination of duties in accordance with departmental guidelines:

    • Participates in the building of large-scale data processing systems (On-premise and Cloud), optimize data pipeline performance as needed to meet the data loads SLA's. Applies technical knowledge on data modeling and best engineering practices.

      • Working as a key team member, delivers results, creating value for the CNA brand, customers, and key internal stakeholders. Works with external (and offshore) resources as required.

      • May lead or sub-lead the design, implementation and automation of data pipelines sourcing data from internal and external systems, transforming the data for the optimal needs of various systems and business requirements.

      • May lead or sub-lead robust unit testing to ensure deliverables match the design and provides expertise to support subsequent release testing.

      • Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.

      • May lead or sub-lead the design of complex physical data models, projects (On-premise and Cloud) including SQL database systems. May lead or sub-lead the creation of integrated data views based on business or analytics requirements.

      • Researches, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

      • May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.

      • Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.

      • Need to play a SME role in resolving high priority data quality issues & production incidents and getting them addressed as per defined SLA's.

      May perform additional duties as assigned.
    Reporting Relationship

    Typically Director or above

    Skills, Knowledge & Abilities

    • Strong knowledge of relational database concepts, ETL/ELT, star schema, data modeling.

    • Strong data integration design and development, ensuring accuracy and ease of consumption. Strong troubleshooting and problem solving skills.

    • Proficient in Python or advanced SQL in a business environment with large-scale, complex datasets.

    • Strong communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.

    • Preferred experience in building data analytics solutions using On-premise Oracle EXADATA, Google Cloud Platform services such as Google BigQuery, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, or DataPrep. AWS, including, Amazon Redshift, Postgres, Elastic MapReduce a plus.

    • Preferred experience with the insurance industry, its products and services.

    Working knowledge of Business Intelligence tools preferred

    Education & Experience

    • Bachelor's degree with Master's preferred in Computer Science, Information Technology, related discipline or equivalent work experience.

    • Typically 5+ years of experience in data, analytics or application development.

    • 2+ years of coding proficiency in at least one programming language Python Unix Shell Script Preferred, Unix Shell Script, SQL, PLSQL Required.

    • Informatica Power Center Required / IICS Preferred

    • Oracle / Big Query/ Postgres Preferred

    • Control-M / Airflow Preferred

    • Experience using Agile methods preferred.

    • Applicable certifications preferred (GCP, Data Engineering).

    #LI-MF1

    #LI-Hybrid

    CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact

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