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Job ID : 36539

Location : Texas City, TX

Company Name : Apollose

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $29000 - $39000  per year

No. of Positions : I have ongoing need to fill this role

Required Skills : Hadoop, SQL, Python..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :


  • Lead the development of our data warehousing strategy, including data modeling and architecture. Design and maintain data models that facilitate data analytics, reporting, and machine learning. Ensure the data infrastructure meets the evolving needs of the organization, with an emphasis on data warehousing solutions.
  • Take the lead in ensuring data governance and quality standards are maintained throughout the data lifecycle. Implement processes to secure data integrity, data privacy, and regulatory compliance while providing data access controls and auditing.
  • Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand data requirements and deliver actionable insights. Effectively communicate data strategies, project updates, and data-related recommendations to non-technical stakeholders.
  • Tackle complex data engineering challenges with innovative and creative solutions. Diagnose and troubleshoot issues, identify bottlenecks, and develop strategies to optimize data processing speed and pipeline efficiency.


  • Bachelor's degree in a related field.
  • 5 years of experience in data engineering roles .
  • Proven expertise in data engineering, includ
  • ing extract, transform, and load processes, data modeling, and database technologies.
  • Strong programming skills in languages such as Python, Java, or Scala 
  • Proficiency in data storage solutions, data warehousing, and cloud-based data platforms.
  • Knowledge of data governance, data quality, and compliance standard.

Key Skills:

  • Machine learning.
  • Computing.
  • Data visualization.
  • Hadoop.
  • SQL.
  • Python.

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