About Us:
Canopus Infotech specializes in AI and RPA projects. Our AI experts can help businesses integrate artificial intelligence technologies into their operations to improve efficiency and productivity. We also offer Robotic Process Automation (RPA) solutions to automate repetitive tasks and free up employees for more complex work.
Job Description: We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data architecture, data modeling, and ETL processes. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and ensuring the reliability and performance of our data infrastructure.
Responsibilities:
- Design, develop, and maintain scalable data pipelines.
- Build and maintain efficient data architectures and data models.
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs and ensure data availability.
- Implement ETL processes to extract, transform, and load data from various sources.
- Optimize data workflows and ensure data integrity and quality.
- Monitor and troubleshoot data pipeline performance issues.
- Stay up-to-date with the latest industry trends and technologies in data engineering.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in SQL and experience with relational databases.
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong programming skills in languages such as Python, Java, or Scala.
- Knowledge of data warehousing concepts and technologies.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, or a related field.
- Experience with data visualization tools like Tableau, Power BI, or Looker.
- Familiarity with machine learning concepts and frameworks.
- Certification in data engineering or related fields.
How to Apply:
If you are passionate about cloud computing and meet the qualifications listed above, we would love to hear from you! Please apply through LinkedIn or send your resume and a cover letter to [Confidential Information].
