
Cloud Data Pipeline Architect
2 days ago
Job Overview
- We are seeking a seasoned data engineer to lead our data pipeline development efforts, focusing on scalability and efficiency.
- The ideal candidate will design, develop, and optimize ETL/ELT pipelines using Apache Spark, AWS Glue, and Azure Data Factory for seamless data integration.
- Collaboration with cross-functional teams is essential in building robust data lake and data warehouse solutions using cloud-based platforms like AWS S3, Azure Data Lake, and AWS Glue.
- This role requires maintaining and supporting existing data pipelines, ensuring high-quality data ingestion, transformation, and loading processes.
- Data support and troubleshooting skills are necessary for resolving issues related to data validation, quality checks, and pipeline dependencies.
Requirements:
- A bachelor's or master's degree in computer science, information technology, or a related field is required.
- Expertise in data engineering tools such as AWS Glue, ADF, and ADB is mandatory.
- A strong understanding of cloud platforms, including AWS and Azure, is essential.
- Excellent problem-solving skills and ability to work under pressure are must-haves.
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