
Chief Data Architect
3 days ago
The role involves creating and maintaining scalable data pipelines to ensure seamless integration with various systems.
- Key Responsibilities:
- Design, develop, and maintain automated data pipelines using ETL tools and cloud platforms.
- Create and maintain documentation such as Source-to-Target mappings, technical design specifications, and pipeline architecture diagrams.
- Ensure high data quality and integrity by implementing monitoring, validation, and error-handling processes throughout the pipeline lifecycle.
- Collaborate with stakeholders to understand source systems and business rules; translate them into reusable, scalable technical solutions.
- Perform unit, integration, and system testing of data flows; troubleshoot, resolve defects, and document outcomes.
- Optimize pipeline performance, environment setup, and data flow efficiency, leveraging best practices in data integration and DevSecOps.
- Provide technical expertise during design, development, deployment, and post-production phases of the pipeline lifecycle.
- Contribute to data governance initiatives by aligning with internal standards, architectural practices, and compliance guidelines.
- Estimate level of effort for new initiatives and changes; support project planning and success tracking.
- Train end users, conduct impact analysis, and support the business in leveraging data assets effectively.
- Qualifications:
- Education:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Skills:
- Proficiency in programming languages such as Python, SQL, and Java.
- Tools and Technologies:
- Familiarity with ETL tools, cloud platforms, and DevSecOps practices.
- Experience:
- A minimum of 3 years of experience in data engineering, preferably in a cloud-based environment.
- Personal Qualities:
- Strong problem-solving skills, analytical thinking, and attention to detail.
- Benefits:
- Competitive salary package.
- Others:
- A supportive work environment that encourages collaboration and professional growth.
This is an excellent opportunity to join a dynamic team and contribute to the success of our organization. As a Data Engineering Professional, you will have the chance to work on complex projects, develop your skills, and take on new challenges. If you are passionate about data engineering and want to be part of a collaborative team, this role may be the perfect fit for you.
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