Key Responsibilities:

Design and develop data warehouse architecture and solutions to meet the business needs.
Lead a team of data warehouse professionals, providing guidance, mentorship and technical support.
Work closely with business stakeholders to understand their reporting and analytical needs and translate them into technical requirements.
Develop and maintain ETL processes using industry standard tools.
Monitor data warehouse performance, identify and resolve any issues or bottlenecks.
Develop and maintain data models and data dictionaries to ensure consistency and accuracy.
Create and maintain documentation for data warehouse processes and procedures.
Implement and enforce data warehousing best practices and standards.
Proactively identify opportunities for data warehouse optimization and provide solutions.
Stay up to date with industry trends and advancements in data warehousing and apply them to improve our data warehouse environment.

Qualifications:

Bachelor's degree in Computer Science, Information Systems or related field.
Minimum of 5 years of experience in data warehousing, with at least 3 years in a lead or supervisory role.
Strong expertise in data warehousing concepts, methodologies, and tools.
Experience with ETL processes and tools such as Informatica, Talend, or DataStage.
Proficient in SQL and experience with databases such as Oracle, SQL Server or Teradata.
Experience with cloud data warehousing platforms such as AWS Redshift or Google BigQuery is a plus.
Excellent problem-solving and analytical skills.
Strong project management and team leadership skills.
Proven ability to work in a fast-paced, dynamic environment and handle multiple priorities.
Excellent communication and interpersonal skills.

Join our team and be a part of our exciting journey towards building a world-class data warehouse environment.

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