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    Data Engineer - Irving, United States - Resource Informatics Group

    Resource Informatics Group
    Resource Informatics Group Irving, United States

    3 weeks ago

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    Description
    Position: Data Engineer
    Location: 100% Remote
    Duration: 6+ Months
    Experience: - 8+ Years

    Technologies We Use:
    AWS Serverless Services Stack (S3, Athena, Lambda, SQS, SNS, Step Functions, Redshift, Glue, etc.),
    Python
    SQL
    Bitbucket/Github
    MSSQL Server
    Salesforce.

    Your Role:
    • Execute on a shared technical architectural direction, long-term vision, and guiding principles for data and platforms and ensure alignment with the enterprise technology strategy.
    • Design, build out and modify AWS data integration pipelines to modernize and harden process models for extracting data from operational platforms into data lake.
    • Build and manage data models (relational, dimensional & NoSQL) to support standardized processing environment. Build deep understanding of how dozens of data sources can be combined for 360-view.
    • Provide support for and own enterprise integrations (i.e. Salesforce, AWS Cognito, Enterprise APIs, Google Analytics, Ecommerce, etc.)
    • Develop integration solutions in the incubation phase and build prototypes as necessary to validate architecture approaches.
    • Develop and maintain SQL queries to support aggregations used for reporting and marketing automation.
    • Maintain high standards of process documentation. Provide non-functional requirements according to which the solution is defined, managed, and delivered.
    • Partner with architecture and engineering leaders to drive alignment on the right balance between consistency and flexibility in our cloud adoption approach.
    • Mentor, educate and train colleagues as requested.
    Qualifications
    Required Experience:
    • 3+ years of experience with architecting and engineering AWS cloud-based Data solutions.
    • 7+ years of experience in Data Engineering for mid-size to large corporations.
    • Experience supporting and working with data platforms.
    • Extensive Python/C# coding experience in application to data processing.
    • Excellent SQL skills.
    • Experience in data modeling (relational, dimensional & NoSQL)
    • Experience in building data integration pipelines for transitional and analytical applications
    • Experience with cloud-native data and parallel data processing architectures (Data Lake architectures, MPP database engines, serverless data processing pipelines, Spark, etc.)
    • Experience consuming data from various sources (databases, file sources, REST services, SOAP services, web-scraping, etc.) and various formats (csv, tsv, json, xml, html, unstructured text, etc.) in Python or C#
    • Execution of DevOps methodologies and Continuous Integration/Continuous Delivery (CI/CD)
    • Experience with Agile (SCRUM, Kanban, etc.) or lean development and able to discuss workflows for different software development processes.
    • Attention to detail and results oriented, with a strong product and customer focus.
    • Strong analytical and problem-solving skills.
    • The ability to work in a team environment.
    • Excellent verbal and written communication skills with the ability to talk to technical and non-technical people, including executive management.
    • Drive to learn and keep pace with the latest advances in the field; rapidly grasp new technologies to support the environment and contribute to project deliverables.

      What We Look For:
    • Experience with products in cloud deployment.
    • Experience building and implementing scalable applications that use modern design patterns that leverage Cloud platforms.
    • Leveraging domain driven design principles to support legacy re-platforming efforts.
    • Designing message-based interaction models to support distributed data across the enterprise.
    • Excellent problem-solving skills.
    • Strong development skills - must be able to work "hands-on."
    • Strong team player who enjoys working in a fast-paced atmosphere
    • Ability to manage multiple priorities, commitments and projects and organize effectively.
    • Self-motivated and passionate about what you do.
    • Strong written and verbal communication skills.
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