Senior Data Engineer - Remote

Overview

A Senior Data Engineer is responsible for designing, building, and optimizing data infrastructure to support large-scale analytics and business intelligence.

In Short

• Design and maintain scalable data pipelines for efficient data processing.
• Oversee data storage solutions, ensuring reliability and performance.
• Work with technologies like Hadoop, Spark, and Kafka to handle large datasets.
• Implement data solutions on cloud platforms such as AWS, Azure, or Google Cloud.
• Ensure compliance with data security standards and best practices.
• Guide junior data engineers and collaborate with data scientists and business teams.

Requirements

• Expertise in SQL, Python, Scala, or Java for data manipulation.
• Experience with big data technologies (Hadoop, Spark, Kafka).
• Strong knowledge of cloud computing platforms (AWS, Azure, GCP).
• Advanced understanding of data modeling and database design.
• Proficiency in ETL processes and workflow automation.
• Ability to optimize data infrastructure for performance and scalability.
• Familiarity with data governance, security protocols, and compliance.

Benefits

• A bachelor's degree in computer science, software engineering, or a related technical field.
• A master's degree can be beneficial for senior roles.
• Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer can enhance qualifications.