Data Warehouse Specialist

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Company Description

PPStack is a global EdTech brand dedicated to empowering students, professionals, and organizations with skills and knowledge tailored to the evolving digital landscape. By utilizing artificial intelligence, innovative teaching methods, and cutting-edge technology, PPStack creates impactful learning experiences that foster career transformation and digital growth. From AI-powered learning platforms to corporate training programs and digital branding, the company offers comprehensive solutions to bridge the gap between education and industry needs. Trusted by learners across the globe, PPStack is building an ecosystem where education drives innovation and fosters career success.

Role Description

This is a full-time remote role for a Data Warehouse Specialist. The Data Warehouse Specialist will be responsible for designing, building, and maintaining data warehouse environments. Day-to-day tasks include performing data modeling, managing ETL processes, ensuring data quality, and collaborating with cross-functional teams to develop and optimize data solutions. The role involves analyzing complex datasets and providing actionable insights to drive informed decision-making within the organization.

Qualifications

  • Strong experience with Data Warehousing, Data Modeling, and Extract Transform Load (ETL) processes
  • Excellent Analytical Skills for extracting insights and solving data-related challenges
  • Proficiency in ensuring and maintaining Data Quality standards
  • Knowledge of database technologies and tools relevant to data storage, management, and retrieval
  • Ability to collaborate effectively with cross-functional teams in a remote work environment
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field
  • Problem-solving skills with a focus on innovation and optimization
  • Familiarity with cloud-based data warehousing platforms (e.g., Snowflake, Redshift, or BigQuery) is a plus

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