Data Engineer Analyst
New
B
BlendAI Services
You may work 100% remotely from anywhere in Mexico!Full-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English: Advanced (required for effective communication with global teams).
- Experience
- 3+ years of experience in Data Engineering or related disciplines
- Required Skills
- PythonSnowflakeData engineeringData modelingPySpark
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or equivalent field.
- 3+ years of experience in Data Engineering or related disciplines.
- Hands-on experience with the AWS ecosystem, including Glue, S3, Athena, and Step Functions.
- Solid proficiency in Python and PySpark for data pipeline development.
- Understanding of data pipeline architecture and design patterns.
- Exposure to CDC (Change Data Capture) patterns and streaming ingestion.
- Experience with data modeling for analytics and reporting use cases.
- Advanced English proficiency.
- Strong problem-solving skills and ability to work effectively in collaborative, agile environments.
- Experience with Snowflake or similar cloud data warehouse platforms (preferred).
- Familiarity with AI-assisted development tools (preferred).
Responsibilities
- Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions).
- Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures.
- Support the design and implementation of data models aligned with business and analytics needs.
- Ensure data quality, reliability, and performance across pipelines and datasets.
- Collaborate with cross-functional teams to align technical solutions with business requirements.
- Apply best practices in data engineering, including modular design, reusability, and governance.
- Leverage AI-assisted development tools to improve productivity and code quality.
- Proactively identify risks, bottlenecks, and optimization opportunities across data workflows.
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