Data Warehouse Architect

2 days ago


Lahore, Punjab, Pakistan beBeeDataIntegration Full time 900,000 - 1,750,000
Senior Data Integration Specialist

The ideal candidate will possess extensive experience in data integration, ETL processes, and data warehousing. A strong understanding of SSIS and SSRS is required, as well as hands-on experience with data warehouse design, implementation, and optimization.

Key Responsibilities:

  • Design, develop, and implement data integration workflows using SSIS to ensure robust and scalable ETL solutions.
  • Manage ETL processes to ensure accurate data extraction, transformation, and loading into data warehouses from various source systems.
  • Monitor and troubleshoot data integration workflows to optimize performance and maintain data integrity.
  • Collaborate with data architects and stakeholders to design comprehensive data warehouse solutions tailored to business requirements.
  • Lead the implementation of data warehouse structures, including fact and dimension tables, star and snowflake schemas, and optimized data storage solutions.
  • Ensure data warehouse performance meets operational and analytical needs through effective design and optimization strategies.
  • Develop and maintain a suite of reports that support business decision-making and provide actionable insights using SSRS.

Required Skills and Qualifications:

  • Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field.
  • Minimum of 6-8 years of experience in data integration, ETL processes, and data warehousing, with demonstrated expertise in SSIS and SSRS.
  • Advanced proficiency in SSIS for ETL and SSRS for reporting solutions.
  • Hands-on experience with data warehouse design and implementation, including dimensional modeling, schema design, and performance optimization.
  • Familiarity with other ETL tools (e.g., Informatica, Talend) and cloud data integration platforms is a plus.
  • Proficiency in SQL, data modeling, and relational database management.
  • Knowledge of data governance and quality assurance practices.

Benefits:

This role offers an excellent opportunity to work on complex data integration projects and contribute to the development of innovative data-driven solutions.

Others:

The ideal candidate will be able to work collaboratively across departments and with diverse stakeholders, possessing excellent communication, problem-solving, and analytical skills.



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