Data Engineer
3 weeks ago
We are seeking an experienced Data Engineer for data integration and transformation initiatives across large datasets.
This role involves advanced SQL query development, managing Azure Data Factory workflows, deploying CI/CD pipelines, and overseeing Kubernetes environments.
Key Responsibilities :
Data Integration and Management :
- Lead initiatives for integrating, transforming, and managing large datasets.
- Ensure optimal data availability and performance across systems.
- Advanced SQL Queries
- Analyze and resolve data issues using complex SQL queries.
- Write efficient ETL (Extract, Transform, Load) code.
Azure Data Factory :
- Utilize Azure Data Factory to orchestrate data workflows and pipelines.
- Implement best practices for cloud-based data Pipelines Deployment :
- Manage CI/CD pipelines to automate and streamline deployment processes.
Kubernetes Deployment :
- Oversee deployment and management of data solutions in Kubernetes environments.
- Ensure application scalability, reliability, and security.
Python and Shell Scripting :
- Develop scripts for data processing, automation, and system :
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3-5 years of experience in data engineering and configuration management.
- Strong expertise in SQL, data warehousing, and cloud environments, preferably on Microsoft Azure.
Hands-on experience with :
- Azure Data Factory
- Azure Pipelines
- Kubernetes
- Python and shell scripting
- Snowflake or similar technologies
- Experience working with extensive datasets and developing ETL code for data import and availability is preferred.
(ref:hirist.tech)
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