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    Data Engineer - Denver, United States - IntePros Consulting

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    Description
    Data Engineer

    IntePros is looking for a highly skilled Data Engineer proficient in Oracle Autonomous Data Warehouse (ADW), AWS cloud services, and SQL/database technologies to spearhead the development and maintenance of robust data architecture, ensuring optimal performance and reliability of data solutions, and supporting our oil and gas client's data needs.

    Responsibilities:

    •Design, build, and maintain efficient data pipelines and ETL processes using Oracle ADW and AWS technologies.

    •Implement data models and database designs to support business requirements and ensure scalability and performance.

    •Develop and optimize SQL queries for complex data retrieval and analysis tasks.

    •Collaborate with cross-functional teams (such as subject matter experts, analysts, and software engineers) to understand data needs and deliver solutions.

    •Monitor and troubleshoot database performance issues, ensuring high levels of data quality and availability.

    •Implement best practices in data governance and security within Oracle ADW and AWS environments.

    •Evaluate and recommend new tools and technologies to enhance data processing and storage capabilities.

    •Document technical specifications, data lineage, and processes for future reference and maintenance.

    What are the top MUST HAVE skill sets (technical) that are required?
    • Expertise in Oracle Autonomous Data Warehouse (ADW) and AWS cloud services, with hands-on experience in designing, building, and maintaining data solutions.
    • Strong proficiency in SQL and database technologies (e.g., Oracle, PostgreSQL, Snowflake), with the ability to develop and optimize complex queries for data retrieval and analysis tasks.
    • Experience in data modeling, schema design, and performance tuning, ensuring scalability, efficiency, and reliability of data architectures.
    What are top three PREFERRED skill sets (technical)?
    • AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics - Specialty), demonstrating a deep understanding of AWS cloud services and best practices.
    • Familiarity with other cloud platforms and technologies beyond AWS, such as Google Cloud Platform (GCP) or Microsoft Azure, broadening the scope of expertise in cloud-based data solutions.
    • Experience with big data technologies and frameworks, such as Apache Spark or Hadoop, enriching the skill set for handling large-scale data processing and analytics tasks.
    Soft Skill requirements (team fit/personality requirements)
    • Effective communication
    • Organization skills
    Compensation: 70-80 per hour

    Benefits: Healthcare Eligible, Dental Eligible, 401k Eligible, Tuition Reimbursement Eligible

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