
Smart Data Specialist
2 weeks ago
Data Engineering Role
We are seeking a skilled Data Engineer to design and build production-level data pipelines that handle structured and unstructured data.
Key Responsibilities:
- Create scalable and reliable ETL/ELT processes for large-scale data workflows.
- Collaborate closely with AI/ML teams to support model training, analytics, and retrieval-augmented generation pipelines.
- Develop expertise in AWS cloud services, including S3, EC2, RDS, DynamoDB, Athena, and Redshift.
- Monitor, optimize, and improve data workflows for performance and cost efficiency.
Necessary Skills and Qualifications:
- 1–2 years of professional experience as a Data Engineer (or related role).
- Proven experience building and running production pipelines at terabyte scale.
- Proficiency with Python and SQL for data engineering.
- Strong knowledge of big data best practices and AWS cloud services.
- Bonus: Airflow, Spark, or other orchestration/processing frameworks.
About the Position:
The successful candidate will be working on a smart AI web widget and Chat Platform that ingests, processes, and analyzes massive datasets across multiple sources to deliver real-time insights. This is an opportunity to work on cutting-edge technology and contribute to its growth and development.
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