
Chief Data Pipeline Architect
7 days ago
We are seeking a skilled professional to lead the development of scalable data pipelines and drive innovation in modern cloud & big data platforms.
The ideal candidate will have strong skills in Python, SQL, PySpark, Bash scripting, and expertise in Cloud Data Warehousing. With 3–6 years of experience, they will be able to design and develop efficient ETL processes, leveraging structured/unstructured data.
- Collaborate with cross-functional teams to implement data pipelines, utilizing AWS, Databricks, and other technologies.
- Work closely with stakeholders to understand business requirements and provide data-driven insights.
- Expertise in Python, SQL, PySpark, Bash scripting.
- Hands-on experience with Databricks, including Delta Lake, Workflows, CLI, Job Clusters, Workspace.
- Knowledge of REST APIs, Flask/FastAPI, containerization (Docker/Kubernetes), and orchestration tools (Airflow/Prefect).
- Excellent problem-solving skills and ability to work in a fast-paced environment.
This is an exciting opportunity for someone who is passionate about innovation, committed to excellence, and willing to continuously learn and grow.
About the JobWe offer a dynamic work environment where you can make a real impact. As a key member of our team, you will be responsible for driving business growth through effective data management and analysis.
You will have the opportunity to work with cutting-edge technologies, collaborate with talented professionals, and contribute to the success of our organization.
Join us and take your career to the next level
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