3. Associate Software Engineer - Level II ( Data Analytics & Automation )
About the role
The Associate Software Engineer - Level II (Data Analytics & Automation) role involves designing and building data pipelines, ETL processes, and workflow automations to support business operations and analytics. The position requires developing and maintaining data models, dashboards, and reports, as well as automating workflows and integrating systems via APIs. The role also includes applying AI tools, version control, and CI/CD practices to both data and automation projects, and collaborating with stakeholders to understand and address business needs. Candidates should have relevant qualifications and 3-5 years of experience in data engineering, analytics, automation, or related fields, with strong skills in SQL, data modeling, cloud platforms (preferably Azure), automation tools, programming/scripting languages, and version control.
Must have
- Relevant academic and/or professional qualifications in Computer Science, Data Science, Software Engineering, Computer Engineering, or a related field.
- Minimum of 3 - 5 years of experience in data engineering, data analytics, business intelligence, SQL development, or a similar role.
- Strong SQL skills, with the ability to write and optimise complex queries across large datasets.
- Solid experience in data modelling and structuring data for reliable and maintainable reporting.
- Hands-on experience in building data pipelines and ETL processes, as well as developing data visualisations and dashboards, preferably using Power BI.
- Good understanding of data structures and algorithms.
- Minimum of 3 - 5 years of experience in automation engineering, workflow automation, system integration, process improvement, or a similar role.
- Experience with Azure or another major cloud platform, with the ability to operate and troubleshoot cloud-hosted services.
- Hands-on experience in building workflow automations using platforms such as Workato, Microsoft Power Platform, or similar automation tools.
- Solid understanding of APIs and system integration patterns.
- Proficiency in programming or scripting languages such as Python, JavaScript, or C# to develop and extend automation solutions.
- Practical experience with version control tools such as Git and CI/CD pipelines.
- Working knowledge of AI-assisted tools and the ability to apply them to support automation development and process improvement initiatives.
- Experience contributing to technical design, solution design, or automation-related projects.
- Strong problem-solving skills with a process-improvement mindset, effective communication skills, and the ability to work independently.
Nice to have
- Exposure to monitoring, logging, quality assurance, testing practices, or operational systems will be an added advantage.
Technologies
- Azure
- CI/CD
- C#
- Data Analytics
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Science
- Data Visualization
- Data Warehousing
- ETL
- Git
- JavaScript
- Power Platform
- Power BI
- Python
- SQL
- Workato
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