Data Engineer

• Design, develop, and maintain scalable data pipelines.
• Collaborate with data scientists and analysts to provide clean, reliable data for analysis and decision-making.
• Optimize data systems and processes to ensure high performance and efficiency.
• Work with large datasets from CCTV systems and other sources to derive actionable insights.
• Ensure data integrity and compliance with data governance standards.
• Develop and implement ETL processes to gather, store, and transform data.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document processes and contribute to knowledge sharing within the team.

Do you have experience in Spark?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

• Proven experience as a Data Engineer or similar role.
• Strong proficiency with data technologies such as SQL, Python, and Spark.
• Experience working with large-scale data architectures and databases (e.g., AWS, GCP, Hadoop).
• Familiarity with ETL processes, data warehousing, and data lake architectures.
• Ability to work with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work in a team environment.