Data Engineer

Job description

InvoZone is a leading software development company headquartered in the US with offices in Canada, Malaysia and Pakistan. We offer a combination of consulting, outsourcing, and specialized services to a global clientele across all types of web and mobile app development projects. The company was launched by experienced and visionary IT professionals with more than 10 years of industry experience in the fraternity of software development.

We take pride in our diversified team that consists of people from both local and international backgrounds working together to strive for excellence. If you think you have the technical skills to contribute to our fast-growing business, feel free to apply.
We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and machine learning initiatives for our clients.
Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines for processing large datasets.
• Develop and optimize data architectures and data models to support analytics and business intelligence.
• Integrate data from multiple sources such as APIs, databases, and third-party platforms.
• Build and maintain data warehouses and data lakes.
• Ensure data quality, reliability, and performance of data pipelines.
• Collaborate with data analysts, data scientists, and software engineers to support data-driven applications.
• Implement data governance, security, and compliance standards.
• Monitor and troubleshoot data pipeline issues and optimize performance.
• Document data flows, systems, and processes for internal teams and clients.

Required Skills & Expertise:

• 3–5 years of experience in data engineering or a related role.
• Strong experience with SQL and relational databases.
• Hands-on experience building ETL pipelines.
• Proficiency in Python, Scala, or Java for data processing.
• Experience with data warehousing concepts and dimensional modeling.
• Familiarity with big data frameworks such as Apache Spark or Hadoop.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.

Job Type: Full-time

Job Type: Full-time

Work Location: In person