Data Analyst Expert
2 weeks ago
Job Summary
We are seeking a highly skilled Data Analyst Expert to join our team at Wits Innovation Lab. This role will be responsible for maintaining and further developing our current ETL pipeline, designing, developing, and maintaining ETL processes, creating and optimizing data pipelines, writing complex SQL queries, and more.
About the Role
- Maintain and further develop the current ETL pipeline.
- Design, develop, and maintain ETL processes to extract data from source systems, transform it into the required format, and load it into target databases or data warehouses.
- Create and optimize data pipelines for real-time, batch, and near-real-time data processing.
- Write complex SQL queries, scripts, and stored procedures for data manipulation and transformation.
- Data Integration: Integrate data from multiple sources (e.g., APIs, flat files, databases, cloud platforms) into centralized storage.
- Ensure that the data is properly transformed according to business logic and validation rules.
- Data Quality & Validation: Implement data quality checks and validation routines to ensure accuracy and reliability of the data.
- Detects and resolves data discrepancies, inconsistencies, or errors.
- Data Optimization & Performance: Monitor ETL jobs for performance and efficiency.
- Optimize ETL processes to reduce processing time and resource usage.
- Troubleshoot and resolve performance issues related to ETL pipelines.
Requirements
- Expertise in Python and SQL.
- Experience with relational databases like SQL Server and PostgreSQL.
- Experience with cloud platforms like AWS (Athena, Kubernetes).
- Preferred skills include design, implementation, and management of CI/CD pipelines, automation of manual processes, deployment and management of applications on cloud platforms, building and maintaining scalable, resilient cloud-based infrastructure using services like EC2, S3, Kubernetes, and Docker.
Compensation
The estimated salary for this role is $120,000 - $180,000 per year, depending on experience.
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