Data Engineer

Job Description:

• Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.
• Integrate data from multiple sources, ensuring consistency, reliability, and data quality.
• Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows.
• Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.
• Monitor and troubleshoot data systems to ensure performance, security, and efficiency.
• Document data processes, system configurations, and best practices.
• Requirements:
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• Proven experience with SQL, Python, and data pipeline frameworks.
• Strong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud).
• Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Benefits:
• Competitive salary and performance-based incentives.
• Opportunities for professional development and technical training.
• Innovative and collaborative work culture.
• Flexible or hybrid working arrangements.