Job Responsibilities :
1. ETL Development and Data Processing :
- Design, develop, and implement ETL processes to extract, transform, and load data from various sources into data warehouses or analytics systems.
- Maintain and enhance ETL pipelines to ensure data quality, integrity, and consistency.

2. DevOps and CI/CD Pipeline Management :
- Implement and support CI/CD pipelines for Enterprise Data Warehouse (EDW) code development and deployment using GitLab.
- Manage and configure workflows for code repositories, ensuring seamless code integration and promotion across environments.

3. Data Analysis and Reporting :
- Apply statistical analysis and data mining techniques to uncover trends, patterns, and insights within large datasets.
- Develop and maintain dashboards, reports, and visualizations to communicate key insights to stakeholders.

4. Programming and Scripting :
- Develop and maintain Linux shell scripting, Python, and PL/SQL code for data extraction, transformation, and automation tasks.
- Create productive scripts for data replication, migration,



and data integration between systems.

5. Quality Assurance and System Optimization :
- Perform quality assurance checks on system installations, configurations, and code to ensure performance and scalability.
- Recommend improvements to optimize performance and reliability of data processes and systems.

6. Business Understanding and Translation :
- Work closely with business stakeholders to understand their goals, processes, and requirements, translating them into technical data solutions.
- Ensure alignment between technical solutions and business objectives to drive strategic decision-making.

7. Data Governance and Security :
- Implement data governance best practices to ensure the security, integrity, and privacy of enterprise data.
- Adhere to data security regulations and policies, ensuring that data is handled with confidentiality and compliance.

8. Collaboration and Stakeholder Communication :
- Coll

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