Description

Key Responsibilities:
Design and implement robust data pipelines for ETL processes.
Build and maintain scalable data architectures and databases.
Collaborate with data scientists and analysts to ensure data availability and quality.
Optimize data workflows for performance and efficiency.
Ensure data security, compliance, and integrity across systems.
Qualifications:
7+ years of experience in data engineering or related roles.
Very strong PL/SQL, Python and generic ETL tools
Strong knowledge of databases (SQL/NoSQL), data warehousing, and data modeling.
Ability to troubleshoot and optimize data pipelines.

Key Skills
Education

Any Graduate

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