
Autonomous Data Platform Engineer
1 week ago
We are looking for Autonomous Data Platform Engineer with below requirements;
- Design, develop, and maintain **data pipelines**and **ETL processes**using AWS Glue, Lambda, Redshift, EMR, and Kinesis.
- Build and optimize large-scale **data processing systems**on AWS.
- Work with data stored in **Amazon S3**, processed through Glue/EMR, and consumed via Redshift, Athena, or visualization tools.
- Write efficient, reusable, and testable code in **Python and SQL**for data engineering workflows.
- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality, reliable data products.
- **Debug and optimize**existing data workflows and infrastructure for performance and cost-efficiency.
- Ensure data quality, integrity, and governance throughout the data lifecycle.
- Support **real-time and batch processing**needs using Amazon Kinesis and related services.
- Lead technical discussions, mentor junior engineers, and contribute to architectural decisions.
**Requirements**:
- Minimum of **5 years of experience**in **data engineering, data management**, or **data visualization**.
- Proficiency in **Python**and **SQL**, with experience building scalable ETL pipelines.
- Strong hands-on experience with AWS services, especially:
- **Amazon S3**, **AWS Glue**, **Amazon Redshift**:
- **AWS Lambda**, **Amazon Kinesis**, **Amazon EMR**, **Amazon Athena**:
- Solid understanding of **data warehousing (DWH)**principles and **relational databases**.
- Experience with **data pipeline orchestration**, monitoring, and debugging.
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