
High-Performance Data Solutions Architect
1 day ago
We are seeking a Senior Data Engineer to lead the design, development, and maintenance of our data infrastructure. This role requires strong expertise in designing, developing, and maintaining scalable, high-performance data pipelines and ETL/ELT frameworks aligned with modern data engineering best practices.
The ideal candidate will have hands-on experience in scripting languages such as Python for data processing, automation, and ETL development. Additionally, they should be familiar with cloud platforms (Azure/AWS) and orchestration tools like Apache Airflow or equivalent.
Responsibilities include:
- Leading the end-to-end design and development of scalable, high-performance data pipelines and ETL/ELT frameworks
- Architecting complex data integration workflows that bring together structured, semi-structured, and unstructured data from both cloud and on-premise sources
- Building robust real-time, batch, and on-demand pipelines with built-in observability—monitoring, alerting, and automated error handling
- Partnering with analysts, data scientists, and business leaders to define and deliver reliable data models, quality frameworks, and SLAs that power key business insights
Qualifications include 7-10 years of hands-on experience in data engineering roles with a proven record of building scalable and secure data platforms. The ideal candidate should also have a strong understanding of CI/CD pipelines, automated testing, and code versioning tools (e.g., Git).
Requirements- Hands-on experience in scripting languages such as Python for data processing, automation, and ETL development
- Familiarity with cloud platforms (Azure/AWS) and orchestration tools like Apache Airflow or equivalent
- Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git)
- Strong interpersonal and communication skills with the ability to lead discussions with technical and business stakeholders
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