Senior Data Analyst
4 weeks ago
Job Title: Data Analyst
About the Role:
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 using Python and SQL skills.
• 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.
Technical Expertise:
• 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).
Preferred Skills:
• 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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