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Job Description & How to Apply Below
Project description
We are seeking an expert with deep proficiency as a Data Bricks Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.
Responsibilities- Manage and optimize Databricks data platform.
- Ensure high availability, security, and performance of data systems.
- Provide valuable insights about data platform usage.
- Optimize computing and storage for large-scale data processing.
- Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
- Optimize ETL Processes - Enhance and tune existing ETL processes for better performance, scalability, and reliability.
- Minimum 10 Years of experience in IT/Data.
- Minimum 3 years of experience as a Databricks Data Platform Engineer.
- Bachelor's in IT or related field.
- Infrastructure & Cloud:
Azure, AWS (expertise in storage, networking, compute). - Programming:
Proficiency in PySpark for distributed computing. - Proficiency in Python for ETL development.
- SQL:
Expertise in writing and optimizing SQL queries, preferably with experience in databases such as Postgre
SQL, MySQL, Oracle, or Snowflake. - Data Warehousing:
Experience working with data warehousing concepts and Databricks platform. - ETL Tools:
Familiarity with ETL tools & processes - Data Modelling:
Experience with dimensional modelling, normalization/denormalization, and schema design. - Version Control:
Proficiency with version control tools like Git to manage codebases and collaborate on development. - Data Pipeline Monitoring:
Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance. - Data Quality Tools:
Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.
- Containerization & Orchestration:
Docker, Kubernetes. - Infrastructure as Code (IaC):
Terraform. - Understanding of Investment Data domain (desired).
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