Data Engineer

Responsibilities

• Design and implement scalable data architectures and systems capable of managing large datasets and supporting real-time analytics.
• Extract, transform, and load data from multiple sources such as databases, warehouses, and data lakes.
• Maintain data accuracy and consistency through validation, cleansing, and robust security and privacy practices.
• Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver reliable access to information.
• Build and maintain ETL workflows, data pipelines, and other integration tools to ensure seamless data flow.
• Conduct data modeling and database design, optimizing structures and queries for speed and scalability.
• Monitor and manage data infrastructure to ensure optimal performance and uptime.
• Stay current with the latest data engineering technologies and recommend improvements or new tools when beneficial.
• Contribute to team collaboration through meetings, code reviews, and shared development initiatives.
  

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field (Master’s preferred).
• Deep understanding of data management and database systems, including SQL, NoSQL, and Spark.
• At least 2 years of experience working with data integration technologies such as ETL, data pipelines, and data warehousing.
• Strong programming skills in Python and Java.
• Excellent analytical and problem-solving abilities with a focus on resolving complex data challenges.
• Effective communication and teamwork skills.
• Proven ability to manage multiple priorities and adapt to changing business needs.
• Commitment to data integrity, confidentiality, and fostering an inclusive, safe work environment.