Sr. Data Engineer

Key Responsibilities :

• Design and implement scalable data architectures to support data integration, transformation, and storage.
• Build and maintain ETL pipelines to extract, transform, and load data from diverse sources into data warehouses or data lakes.
• Work with big data technologies like Hadoop, Spark, and Kafka to efficiently process and manage large datasets.
• Design data models and schemas to support business intelligence, analytics, and reporting requirements.
• Implement data quality checks and governance processes to ensure accuracy, consistency, and compliance with policies.
• Identify performance bottlenecks in data processing workflows and optimize pipelines for efficiency.
• Implement data security measures to protect sensitive information and ensure regulatory compliance.

Skills Required

Etl, Data Architecture, Hadoop, Spark, Kafka, Data Modeling