About the Client:
My Client is a renowned global leader specializing in the development of network products and infrastructure.
Role: Data Engineer
Experience: 2-5 years
Location: Remote
What will you do?
Developing Data Pipelines: Create, enhance, and manage robust data pipelines for seamless data movement.
Optimizing Data Warehousing: Implement and fine-tune data warehousing solutions to ensure efficient data storage and retrieval.
- Crafting Data Models and Architectures:Design and oversee data models to align with business needs, collaborating effectively with stakeholders.
Ensuring Data Integration: Integrate data from various sources with a focus on maintaining consistency and reliability.
Perfecting ETL Processes: Build and refine Extract, Transform, Load processes to facilitate smooth data extraction, transformation, and loading.
Fine-tuning Performance and Optimization: Monitor and enhance the performance of databases and data processing for swift and efficient data access
Qualifications :
Experience Level:
Data Engineer with 2-5 years of relevant experience.
SQL Proficiency:
Strong proficiency in SQL.
Ability to write complex queries and optimize database performance.
Cloud Experience:
Demonstrated experience working with cloud platforms.
Database Technologies:
Familiarity with at least one of the following: single source, Elastic, or Clickhouse.
Programming Skills:
Proficiency in Python (good to have).
Good to have:
Experience with geo spatial data
Experience with containers, Kubernetes
Experience with Dapr/Keda
Understanding of MLOps