Job Description
DataVizz is seeking a skilled Data Engineer to join our team. This role requires expertise in data processing, cloud technologies, and ETL pipelines. The ideal candidate should have strong analytical skills and a proficiency in English to collaborate with cross-functional teams effectively.
Responsibilities:
- Develop, implement, and maintain data pipelines and ETL workflows.
- Work with large-scale structured and unstructured data to ensure high performance and reliability.
- Collaborate with data scientists and analysts to improve data quality and analytics solutions.
- Optimize database queries and cloud-based data storage for efficiency.
- Ensure data security, integrity, and compliance with best practices.
Job Requirements
• 2 to 4 years of experience as a Data Engineer or in a related field.
• Strong knowledge of SQL, Python, and cloud platforms (AWS, Azure, or GCP).
• Experience with ETL tools and data warehousing solutions.
• Good understanding of DevOps practices and cloud-based data architectures.
• Excellent problem-solving skills and ability to work independently.
• English proficiency is a must.
Preferred Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Experience with big data technologies like Spark, Hadoop, or Kafka.
• How to Apply? Send your resume.
About the Company
DataVizz is an innovative technology-driven company specializing in data analytics, cloud solutions, and business intelligence. We provide cutting-edge solutions to businesses, helping them leverage data-driven insights for growth and efficiency.