
Business Intelligence Developer
2 weeks ago
Education and Qualifications
· Bachelor's degree in computer science, IT, Data Science or related field .
· Proven Experience in BI Development
· Strong ability to write and optimize complex SQL queries within SQL Server or a similar RDBMS
· Hands-on experience designing and implementing ETL/ELT processes
· Experience creating data models and designing databases for reporting and analytics purposes
Principal Accountabilities
·
Develop and Implement BI Solutions
· Optimize Data Process: Monitor and enhance data flows for accuracy, efficiency and
performance
· Ensure Data Quality: Implement validation checks and error handling to maintain high data
integrity
· Collaborate with stakeholders, Support and Train Users
· Maintain Data Governance Standards
Experience and Skills
- Proficiency in Microsoft BI Stack
o Strong experience with Power BI, SQL Server, SSIS, SSAS, and Microsoft Fabric.
o Expertise in Azure Data Services (Azure Data Factory, Azure Synapse, Azure Databricks,
Azure Data Lake).
- Data Engineering & ETL Expertise
o Proven ability to design, develop, and optimize ETL/ELT pipelines for structured and
unstructured data.
o Experience integrating data from multiple sources (APIs, databases, flat files, cloud
storage, etc.).
o Knowledge of incremental data loading, partitioning strategies, and performance tuning.
- Advanced SQL and Performance Optimization
o Ability to write and optimize complex SQL queries, stored procedures, and indexing
strategies.
o Experience in query performance tuning and troubleshooting bottlenecks in large
datasets.
- Data Modelling & Architecture
o Expertise in designing data models for analytical workloads, including star and snowflake
schemas.
o Strong understanding of data warehousing concepts, medallion architecture (Bronze,
Silver, Gold layers), and dimensional modelling.
- Data Visualization & Reporting
o Ability to develop interactive and visually compelling dashboards using Power BI.
o Experience with DAX, Power Query (M), and performance optimization in Power BI.
- Data Quality & Governance
o Strong knowledge of data validation, cleansing techniques, and maintaining data integrity.
o Experience implementing data security, role-based access control (RBAC), and
compliance best practices.
o Understanding of data cataloging and metadata management.
- Programming & Automation
o Proficiency in Python or PowerShell for data automation and transformation.
o Experience with CI/CD pipelines for data workflows (Azure DevOps, GitHub Actions,
Terraform).
o Familiarity with orchestration tools like Apache Airflow is a plus.
- Problem-Solving & Performance Tuning
o Ability to troubleshoot complex data pipeline issues and implement scalable solutions.
o Experience in monitoring data infrastructure, identifying inefficiencies, and optimizing
performance.
- Collaboration & Stakeholder Engagement
o Strong communication skills to gather requirements, translate business needs into
technical solutions, and engage with non-technical stakeholders.
o Ability to mentor junior data engineers and collaborate across teams (BI, analytics,
software development).
- Cloud & Infrastructure Knowledge (Desirable) o Experience with Infrastructure-as-Code (IaC) for provisioning data services. o Understanding of containerization (Docker, Kubernetes) and distributed computing frameworks.
Desirable
· Certification in Microsoft BI Tools: Microsoft Certified Azure Data Engineer Associate, Microsoft
Certified Fabric Data Engineer Associate, Microsoft Certified Fabric Analytics Engineer
Associate
· Experience with Cloud Data Warehousing
· Programming Skills in Python or R
· Familiarity with Data Integration Tools
· Knowledge of Big Data Technologies e.g. databricks, spark
· Experience in Agile Development
Benefits
- Competitive salary for deserving candidates
- Calendar holidays, Earn leave, Sick leave
- 2 Festival bonuses
- Yearly performance review
- professional training for learning and development
- Opportunity to work with foreign team
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