Responsibilities:
Design, develop, and maintain BI and analytics solutions, including enterprise reports, dashboards, and data services
Build and support end-to-end data pipelines, including data ingestion, transformation, validation, orchestration, and monitoring
Assist in data warehouse design and implementation, including data modeling, performance tuning, and data quality controls
Implement and maintain reporting solutions using SSRS
Build Power BI dashboards including dataset modeling, measures, and refresh governance
Participate in cloud migration initiatives, including re-platforming ETL workloads and data storage from on-premises to cloud services
Work with stakeholders to collect requirements, translate them into functional and technical specifications, and deliver solutions aligned with business priorities
Conduct proof-of-concepts and evaluation new capabilities in data engineering, and AI-assisted analytics (e.g. semantic layer approaches)
Apply software engineering best practices across the SDLC, including version control, code review, testing, documentation, and release management
Provide incident support and root cause analysis for data pipelines and BI reporting issues, and drive continuous improvement.
Requirements :
Diploma or Degree holder in Computer Science, Information Technology or related discipline.
Experience with SSRS and/or Power BI is highly preferred
Hands-on experience or strong interest in SSIS ETL / ELT development and data pipeline orchestration
Solid foundation in SQL (querying, performance tuning, stored procedures, data modeling concepts)
Solid experience with AWS / Azure cloud services (e.g. Azure Data Factory) is an advantage
Experience with cloud platforms (Azure or AWS) is an advantage, especially services related to data engineering (e.g., Azure Data Factory, Synapse, Databricks)
Programming experience in one or more languages such as Python, C#, or JavaScript is an advantage.
Interest or exposure in web development (e.g., building internal web apps, APIs, or analytics portals) is a plus
Interest in AI-powered analytics (e.g., natural language querying, LLM-assisted reporting) is a plus
Good analytical and communication skills.
Candidates with less experience would be considered as Programmer.
We offer competitive remuneration. Interested parties please apply with complete resume and expected annual salary and date of availability.
All information will be kept confidential and used for recruitment purposes only, unsuccessful application will be destroyed.
Full-time