Senior Data Engineer

This role focuses on designing, building, and maintaining robust and scalable data pipelines and infrastructure to support data-driven decision-making. The Senior Data Engineer will collaborate with cross-functional teams to understand data requirements, implement efficient data processing solutions, and ensure data quality and integrity.

Key Responsibilities:

Design and develop data pipelines using various technologies.
Build and maintain data warehouses and data lakes.
Implement data quality checks and monitoring systems.
Optimize data processing performance and scalability.
Collaborate with data scientists and analysts to support their needs.
Ensure data security and compliance with relevant regulations.

Requirements/Qualifications:

Strong experience in data engineering principles and practices.
Proficiency in programming languages such as Python or Java.
Experience with big data technologies (e.g., Spark, Hadoop).
Knowledge of data warehousing concepts and technologies.
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Excellent problem-solving and communication skills.

About the Company: Persistent is a technology services company focused on helping businesses innovate and transform. They provide a range of services to clients across various industries, enabling them to leverage technology to achieve their business goals.