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    Sr. Data Engineer - Houston, United States - Inceed

    Inceed
    Inceed Houston, United States

    1 week ago

    Default job background
    Direct Hire
    Description

    Compensation: $140000
    Location: Houston, TX
    Sr. Data Engineer

    Inceed has partnered with a great company to help find a skilled Sr. Data Engineer to join their team

    We are looking for a talented and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data architecture, infrastructure, and tools necessary for optimal extraction, transformation, and loading (ETL) of data from various sources to support our organization's data-driven initiatives.

    Responsibilities:

    • Data Pipeline Development:
      • Design, implement, and maintain scalable and efficient data pipelines for the extraction, transformation, and loading of data from diverse sources.
      • Collaborate with cross-functional teams to understand data requirements and ensure the smooth flow of data between systems.
    • Data Modeling and Schema Design:
      • Develop and implement data models and schemas to support efficient storage and retrieval of structured and unstructured data.
      • Optimize database performance and ensure data integrity.
    • ETL Process Optimization:
      • Continuously improve and optimize ETL processes for better efficiency and reliability.
      • Implement monitoring and logging mechanisms to identify and address issues in a timely manner.
    • Data Integration:
      • Integrate data from various sources to create a unified and comprehensive view of enterprise data.
      • Work with data architects to ensure data integration solutions align with overall data architecture goals.
    • Database Management:
      • Administer and maintain databases, ensuring high availability, security, and performance.
      • Collaborate with database administrators to implement best practices for data storage and retrieval.
    • Data Quality Assurance:
      • Implement data quality checks and validation processes to ensure accuracy and consistency of data.
      • Collaborate with data stewards and business users to resolve data quality issues.
    • Collaboration:
      • Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide timely and accurate data solutions.
      • Participate in cross-functional teams to contribute technical expertise to overall data strategy.
    • Documentation:
      • Create and maintain documentation for ETL processes, data models, and database architecture.
      • Develop and share best practices for data engineering within the organization.

    Required Qualifications & Experience:

    • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
    • Proven experience as a Data Engineer or in a similar role.
    • Proficiency in programming languages such as Python, Java, or Scala.
    • Experience with ETL tools and frameworks (e.g., Apache NiFi, Apache Beam, Talend).
    • Strong SQL skills and expertise in working with relational and NoSQL databases.
    • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
    • Knowledge of data warehousing concepts and technologies.
    • Excellent problem-solving and analytical skills.

    Perks & Benefits:

    • Health, Dental, Vision and Life Insurance
    • 401k matching
    • Bonus

    Other Information:

    • Hybrid work schedule


    If you are interested in learning more about the Sr. Data Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time.

    We are Inceed, a staffing and direct placement firm who believes in the possibility of something better. Our mission is simple: We're here to help every person, whether client, candidate, or employee, find and secure what's better for them.

    Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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