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What applies to you
Join our rapidly growing IT team as a Data Engineer and play a key role in transforming raw data into powerful business insights. If you are passionate about building scalable data solutions, writing clean, maintainable code, and working with cutting-edge technologies, this is the opportunity for you. You will design and develop high-performance data pipelines, collaborate with business users to shape data-driven strategies, and be a vital part of our innovation journey. With access to the latest in Big Data platforms, cloud technologies, and a dynamic, supportive team, you'll have the tools to drive meaningful business transformation.
What you will do
- Analyze the Business rule with users, transform the Business rules into Mapping and functional specification document .
- Development of data ingestion, integration and extraction pipelines with data lake.
- Write robust, reliable and maintainable code
- Write clear and concise documentation, including business logic implemented per required transformations
- Resolve issues with a high degree of analytical aptitude and foresight
- Enforce and adhere to defined processes and procedures, best practices and standards
- Proficiency in database structures, theories, principles and practices in particular with data warehouse design
- ETL experience in design, mapping and configuration in a complex environment processing large volumes of data
- Strong SQL experience and/or SQL Server databases. Good knowledge of Big Data querying tools, such as Hive & Hue and etc.
- Possess proven knowledge of one or more Azure technologies - Microsoft SQL Server Information Services, Microsoft Data Quality Service, Azure Cloud and Power BI
- Expose data to end users for using modern visualization platform (i.e. PowerBI, Azure API Apps)
- Implement effective metrics and monitoring processes.
What you will need
- Possess at least a Bachelor’s Degree in IT software development/engineering or Data Science related discipline
- 2 to 4 years of relevant experience
- Proficient with at least one or more of the following technologies: SSIS, SQL Skills, SQL Server, Azure Data Factory, Data Warehouse, ETL Framework, Microsoft Power BI
- Advanced knowledge of SQL
- Preferably possess a good knowledge about: Data Modelling, Data APIs, Unstructured Data and Hadoop Ecosystem
- Information Security, Encryption, SSL/TLS
- SAAS experience Azure/AWS
- Technical authoring for product/project documentation
- System Integration Architecture, Enterprise Integration Patterns
- File based integrations
- Knowledge with Apache Kafka is add-on advantage
What we promise
- Work with cutting-edge Big Data platforms.
- Be part of a fast-growing, innovative IT organization.
- Dynamic, team-oriented work environment with growth opportunities.
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