
Data Engineer
3 days ago
The Job
- Design / Implementation of Data Pipelines for processing large volumes of data
- Ingesting batch and streaming data from various data sources.
- Writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)
- Data Modeling: Proficiency in creating both normalized and denormalized database schemas.
- Developing applications in Python.
- Developing ETL, OLAP based and Analytical Applications.
- Working experience in Azure / AWS services
- Working in Databricks, Snowflake or other cloud data platforms.
- Working in Agile / Scrum methodologies
- Good knowledge of cloud security concepts and implementation of different types of authentication methods
- working on Azure DevOps; Create and manage GIT and code versioning, build CI/CD pipelines and test plans
Your Profile
- Experience with a strong focus on Data Engineering
- Design, develop, and maintain data pipelines
- Implement ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for seamless data integration.
- Collaborate with cross-functional teams to design and implement large-scale distributed systems for data processing and analytics.
- Optimize and maintain CI/CD pipelines to ensure smooth deployment and integration of new data solutions.
- Exposed to python libraries such as NumPy, pandas, beautiful soup, etc
- Experience Databricks, Snowflake or other cloud data platforms.
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