Data Engineer - Remote

Overview

A Data Engineer is responsible for designing, building, and maintaining data infrastructure to support analytics, reporting, and business intelligence.

In Short

• Build and optimize data pipelines for efficient extraction, transformation, and loading (ETL).
• Design and maintain databases, ensuring scalability and reliability.
• Work with large datasets using tools like Hadoop, Spark, and Kafka.
• Implement data solutions on cloud platforms like AWS, Azure, or Google Cloud.
• Ensure data integrity, compliance, and security best practices.
• Collaborate with data scientists, analysts, and business teams to support data-driven decision-making.

Requirements

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

Benefits

• A bachelors degree in computer science, software engineering, or a related technical field.
• A masters degree can be beneficial for senior roles.
• Certifications like AWS Certified Data Analytics Specialty or IBM Certified Data Engineer Big Data can enhance qualifications.