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    Data Engineer - Birmingham, United States - Johnson Service Group

    Johnson Service Group
    Johnson Service Group Birmingham, United States

    4 weeks ago

    Default job background
    JSG Contract
    Description
    Johnson Service Group (JSG) is a nationally recognized professional staffing and recruiting firm that is currently looking for a contract Data Engineer in the downtown Birmingham area.
    NO CORP TO CORP

    Job Title: Data Engineer - Advanced Metering Infrastructure (AMI) Analytics**
    Location: Birmingham, AL
    Duration: 1 Year

    Job Summary:
    The Data Engineer with the AMI Analytics team plays a pivotal role in advancing data-driven decision-making and operational efficiency across business units. Working closely with data scientists and within a cloud environment, this role requires expertise in data engineering, cloud technologies, and collaborative problem-solving.

    Key Responsibilities:
    Data Pipeline Development:
    • Assist TO in designing, building, and maintaining scalable data pipelines to ingest, transform, and store large volumes of AMI data from various sources.
    • Collaborate with data scientists to ensure seamless integration of data pipelines with analytical models and AI processes.
    Data Modeling and Architecture:
    • Develop and implement data models and architectures optimized for AMI data analytics, ensuring efficiency, scalability, and data integrity.
    • Implement best practices for data storage, partitioning, and indexing to optimize performance and facilitate analysis.
    Cloud Environment Management:
    • Work within cloud environments - Azure to deploy, manage, and optimize data engineering solutions.
    • Collaborate with cloud architects and administrators to ensure security, compliance, and cost-effectiveness of cloud infrastructure.
    Power BI Visualization and Reporting:
    • Develop and maintain Power BI dashboards and reports to visualize AMI data insights and facilitate data-driven decision-making.
    • Ensure the accuracy, reliability, and usability of visualizations to meet business requirements.
    Data Cataloging and Documentation:
    • Catalog and document AMI data sources, datasets, and metadata to facilitate data discovery, lineage, and governance.
    • Implement data cataloging best practices to ensure the availability and accessibility of AMI data assets.
    Collaboration and Support:
    • Collaborate with cross-functional teams to understand data requirements and support analytical initiatives.
    • Provide technical support and troubleshooting for data-related issues, ensuring the reliability and availability of data infrastructure.

    Job Requirements:
    Education/Experience:
    • Bachelor's Degree in Computer Science, Information Technology, or related field.
    • 3+ years of experience in data engineering or related roles, preferably in a cloud environment.
    Knowledge, Skills & Abilities:
    • Proficiency in programming languages such as Python, SQL, and Scala.
    • Proficiency with Power BI for data visualization and reporting.
    • Experience with cloud-based data platforms (e.g., Azure Databricks, AWS EMR).
    • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
    • Familiarity with big data technologies
    Behavioral Attributes:
    • Innovative and adaptable, with a passion for continuous learning and improvement.
    • Strong communication and collaboration skills, with the ability to work effectively across teams.
    • Results-oriented and committed to delivering high-quality solutions that meet business needs.
    • Ethical conduct and commitment to safety in all aspects of work.
    We are looking for a motivated and skilled Data Engineer to join our dynamic AMI Analytics team. If you are passionate about leveraging data to drive business insights and innovation, and have expertise in Power BI visualization and data cataloging, we encourage you to apply.
    #D650
    Data Administration, Computer Science, AI, AMI Analytics, Cloud, Power BI, Python, SQL, Scala, Azure, AWS EMR, ETL
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