Data Analyst
1 month ago
We are seeking a highly skilled Data Analyst to join our team at Wits Innovation Lab. As a Data Analyst, you will play a crucial role in maintaining and developing our current ETL pipeline, designing and implementing ETL processes, and creating and optimizing data pipelines for real-time, batch, and near-real-time data processing.
Key Responsibilities:- 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 the 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 the 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
- Our current pipeline is a combination of Python and SQL. Should have expertise in both
- Experience with relational databases like SQL Server, PostgreSQL
- Experience with cloud platforms like AWS (Athena, Kubernetes)
- Design, implement, and manage CI/CD pipelines
- Automate manual processes related to software build, testing, deployment, and configuration management
- Deploy and manage applications on cloud platforms like AWS
- Build and maintain scalable, resilient cloud-based infrastructure using services like EC2, S3, Kubernetes, and Docker
- Implement container orchestration solutions with Kubernetes, Docker
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