Senior Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and infrastructure to support data-driven decision-making. The Senior Data Engineer will work closely with data scientists, analysts, and other stakeholders to ensure data quality, accessibility, and performance.

Key Responsibilities:

Design and develop scalable data pipelines using various technologies.
Build and maintain data warehouses and data lakes.
Implement data quality checks and monitoring systems.
Optimize data infrastructure for performance and reliability.
Collaborate with cross-functional teams to understand data requirements.
Troubleshoot and resolve data-related issues.

Requirements/Qualifications:

Strong experience in data engineering principles and practices.
Proficiency in programming languages such as Python or Java.
Experience with big data technologies like Spark, Hadoop, or Kafka.
Knowledge of data warehousing concepts and tools.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Excellent problem-solving and communication skills.
Experience with relational and NoSQL databases.

About the Company: Barclays is a global financial services provider committed to helping individuals, businesses, and institutions achieve their ambitions. They operate across a range of areas including investment banking, corporate and investment banking, and wealth management.