We are seeking a highly skilled Data Specialist to design, implement, and optimize data integration and ETL processes across diverse platforms. This role is critical to ensuring data accuracy, consistency, and accessibility for analytics, reporting, and operational needs. The ideal candidate will work collaboratively with cross-functional teams to support data-driven decision-making across the organization.

Key Responsibilities

• Design and implement robust data integration solutions from multiple sources to create a unified, accessible data environment.
• Develop and manage ETL (Extract, Transform, Load) pipelines to ensure efficient and accurate data aggregation and transformation.
• Monitor and validate data quality across systems, implementing controls to ensure data integrity.
• Troubleshoot and resolve integration issues, minimizing disruptions to business operations.
• Stay current on emerging data technologies and recommend enhancements to data integration architectures.
• Optimize ETL workflows to ensure timely availability of reliable and accurate data.
• Collaborate with stakeholders including data architects, DBAs, and analytics teams to align data processes with strategic goals.
• Implement data cleansing and validation procedures within ETL processes to uphold high standards of data quality.
• Maintain thorough documentation of ETL processes and ensure the codebase is scalable, maintainable, and compliant with best practices.
  
  

Qualifications

Education:

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  
  

Experience

• Hands-on experience designing and developing ETL pipelines and integrating data from diverse sources.
• Proven ability to manage large datasets and maintain high data quality standards.
  
  

Skills

• Proficiency in ETL tools (e.g., Informatica, Talend, SSIS) and programming/scripting (e.g., SQL, Python).
• Strong problem-solving abilities and attention to detail.
• Experience with data warehousing concepts and cloud-based data platforms is a plus.
• Excellent communication and collaboration skills.
  
  

Skills: data warehousing,data integration,etl tools (informatica, talend, ssis),python,cloud-based data platforms,data quality management,etl,sql,integration