
Senior Cloud Data Architect
1 day ago
Job Opportunity
We are seeking an experienced senior data engineer to lead our data engineering team. As a key member of our team, you will design, develop and optimize ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory.
Key Responsibilities
- Design and build scalable data ingestion and transformation workflows across cloud platforms.
- Develop data lake and data warehouse solutions using AWS S3, Azure Data Lake, and AWS Glue.
- Collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows.
- Implement job orchestration, monitoring, and error handling for reliable pipeline execution.
- Maintain and support Data Pipeline functionality.
- Monitor data loads.
- Ensure data quality and validity checks.
- Identify and optimize ingestion pipelines in consultation with customers.
- Provide L2/L3 data support.
- Analyze and resolve Glue job failures and restarts.
- Fix minor transformation logic or input data issues.
- Resolve dependency failures in Glue workflows.
- Tune job configurations.
- Conduct impact analysis and root cause analysis.
Required Qualifications
Bachelor's degree in Computer Science or related field.
8+ years of experience in data engineering or cloud computing data development.
Benefits
Opportunity to work on complex data engineering projects.
Collaborative and dynamic team environment.
Professional growth and development opportunities.
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