Data & Application Engineer

About IQZ Systems
We are technologists, designers, and strategists committed to leaving this world a better place than we found it. At IQZ Systems, we believe in building technology solutions that empower our clients to optimize costs and identify new revenue-streams. We focus on developing solution accelerators that enable our clients to reduce delays to create customer value. With the use of digital technologies (IoT, AI, Blockchain, Social, Mobile, Analytics), we build sophisticated automation, data accessibility, and integration patterns to accelerate the pace of business. Our presence is in US, Luxembourg, India & Sri Lanka.
Key Responsibilities
Design, develop, and maintain scalable data pipelines that extract, transform, and load (ETL/ELT) data from multiple sources into data warehouses and data lakes.
Design, develop, and support backend services, APIs, and application components that enable data-driven solutions.
Collaborate with application development teams to integrate data platforms with business applications and services.
Participate in self-paced learning and project delivery utilizing the Denodo platform and related technologies.
Design and implement data models, database schemas, and application data structures that support business and application requirements.
Ensure data accuracy, completeness, consistency, and reliability through data quality controls, monitoring, and governance practices.
Integrate and consolidate data from databases, APIs, files, third-party systems, and cloud-native services.
Build and optimize cloud-based data and application solutions using Azure, AWS, or Google Cloud services such as Databricks, Data Factory, Data Lake, Redshift, Aurora, and BigQuery.
Develop reusable frameworks, services, and automation tools to improve application and data engineering efficiency.
Participate in code reviews, testing, deployment activities, and CI/CD processes while following software engineering best practices.
Troubleshoot, debug, and optimize data pipelines, application services, and system integrations to ensure performance and reliability.
Collaborate effectively with project managers, product owners, architects, developers, and other stakeholders throughout the software development lifecycle.
Document application architectures, data flows, APIs, data models, and operational procedures to support ongoing maintenance and knowledge sharing.
Continuously evaluate emerging technologies and industry best practices in both application development and data engineering to drive innovation and efficiency.
Required Skills & Experience
Minimum 4 years of experience in Software Engineering, Data Engineering, or Application Development.
Strong experience with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
Experience designing, developing, and maintaining scalable data pipelines (ETL/ELT) for processing large volumes of data.
Experience with data warehouses, data lakes, and querying structured and semi-structured data.
Hands-on experience with one or more reporting and visualization tools such as Power BI, Tableau, Qlik View, Looker, or ThoughtSpot.
Strong programming skills in Python, Java, Scala, or similar languages.
Experience building and supporting backend applications, RESTful APIs, microservices, or distributed systems.
Knowledge of software design principles, object-oriented programming, design patterns, and application architecture.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience integrating applications and data platforms through APIs, event-driven architectures, or messaging services.
Familiarity with NoSQL databases such as MongoDB, Cassandra, DynamoDB, Athena, or Redshift is an advantage.
Experience with version control systems such as Git and CI/CD practices.
Understanding of software development lifecycle (SDLC), Agile methodologies, testing frameworks, and deployment processes.
Strong analytical, problem-solving, and communication skills.
Ready to grow with us? Share your CV to shalomi.f@iqzsystems.com

Work arrangement
Yes