Position Details
About this role
This role involves designing, developing, and maintaining data pipelines and infrastructure for real-time and batch processing, primarily utilizing cloud platforms like AWS, Azure, and GCP.
Key Responsibilities
- Design and maintain ETL/ELT pipelines
- Build automated data ingestion workflows
- Implement data transformation and validation
- Optimize pipeline performance
- Develop monitoring and alerting systems
Technical Overview
The technical environment includes ETL/ELT pipelines, cloud storage solutions, data modeling, and automation tools, with a focus on data quality, security, and performance optimization.
Ideal Candidate
The ideal candidate is a senior data engineer with extensive experience designing and maintaining ETL/ELT pipelines, proficient in cloud platforms such as AWS, Azure, or GCP, and skilled in data modeling, quality, and governance. They should have a strong background in data infrastructure and automation.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud platforms (AWS, Azure, GCP), No experience with data pipeline development, No knowledge of data governance or security measures, Not familiar with DevOps or CI/CD practices
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