Data Engineers (Denodo)

InfyStrat; Johannesburg; On-site; ZAR 500,000 - 800,000; Full time

Job summary

InfyStrat is looking for a skilled Data Engineer proficient in Denodo to join our innovative data team. Your role includes designing and maintaining data integration solutions, ensuring seamless access to diverse data sources, and empowering stakeholders with actionable insights. If you thrive in a collaborative environment and have a passion for data engineering, come shape the data landscape with us.

Qualifications

• 3+ years of experience in data engineering.
• Proficiency in SQL and data modeling.
• Familiarity with ETL processes and data warehousing.

Responsibilities

• Design and implement data integration solutions using Denodo.
• Develop and maintain data models and metadata repositories.
• Optimize data virtualization processes.

Skills

Problem-solving

SQL

Data modeling

Collaboration

Education

Bachelor's degree in Computer Science

Job description

InfyStrat is on the lookout for skilled and driven Data Engineers with expertise in Denodo to join our innovative data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data integration solutions that leverage Denodo’s data virtualization platform. Your role will be pivotal in transforming complex data into actionable insights, thereby empowering our stakeholders to make data-informed decisions. We are seeking candidates who are not only technically proficient but also enthusiastic about working with diverse datasets and developing efficient data pipelines. At InfyStrat, we value creativity, collaboration, and continuous learning. You will be part of a vibrant team that thrives on tackling challenges and driving the future of our data capabilities. If you are passionate about data engineering and are well-versed in Denodo, we invite you to apply and help us shape the data landscape of InfyStrat.

Responsibilities

• Design and implement data integration solutions using Denodo to ensure seamless access to diverse data sources.
• Develop and maintain data models and metadata repositories.
• Optimize data virtualization processes for improved performance and scalability.
• Collaborate with data analysts, business stakeholders, and IT teams to gather requirements and deliver solutions.
• Monitor and troubleshoot data pipeline issues to ensure data quality and integrity.
• Stay updated with the latest trends and technologies in data engineering and virtualization.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or a similar role, with a strong focus on Denodo.
• Proficiency in SQL and experience with data modeling techniques.
• Familiarity with ETL processes and data warehousing concepts.
• Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication skills and the ability to work collaboratively in a team environment.