Data Warehouse Architectural Expert
4 days ago
Job Summary:
TalentBridge is seeking a skilled Data Warehouse Specialist to join our team. This role requires a strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes.
About the Role:
- Design, develop, and maintain end-to-end data pipelines to enable seamless data flow across systems.
- Implement data extraction, transformation, and loading (ETL/ELT) processes within cloud-based environments.
- Optimize data warehouse performance, ensuring efficient storage, retrieval, and reporting of data.
- Manage and administer Qlik Replicate, ensuring high availability and reliability of data replication processes.
- Develop and write complex SQL queries for data analysis, transformation, and validation.
- Evaluate data integrity, security, and compliance with industry standards and best practices.
- Collaborate with business analysts, data scientists, and software developers to understand business needs and implement data solutions.
- Monitor and troubleshoot data pipeline failures, latency issues, and performance bottlenecks.
- Work with cloud data platforms (AWS, Azure, GCP) to build scalable and cost-effective data solutions.
Requirements:
- Strong experience in SQL for querying, data transformation, and database optimization.
- Hands-on experience in Qlik Replicate administration, including replication setup, monitoring, and troubleshooting.
- Expertise in data warehousing concepts, dimensional modeling, and ETL/ELT processes.
- Experience working with cloud-based data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake, etc.).
- Proficiency in scripting languages like Python or Shell scripting for automation.
- Familiarity with data governance, security policies, and compliance regulations.
- Strong problem-solving skills with the ability to troubleshoot and resolve data pipeline issues.
- Excellent communication and collaboration skills to work with cross-functional teams.
Preferred Qualifications:
- Experience in data lake architectures and real-time data processing frameworks.
- Certification in Qlik, cloud platforms, or data engineering technologies.
- Hands-on experience with other BI and data integration tools.
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