Senior Data Engineer

Job Summary
Data Engineer plays a pivotal role in advancing the organization’s data-driven and self-service analytics agenda. This role is responsible for designing, building, and maintaining scalable data architectures and pipelines that transform raw data into trusted, analytics-ready assets. The position underpins enterprise reporting, advanced analytics, and machine learning initiatives, with a strong focus on enabling governed Self Service Intelligence SSI and delivering high-performance Power BI analytics that empower business users while maintaining enterprise controls.

Key Responsibilities

• Design, develop, test, and maintain enterprise-grade data pipelines and architectures supporting analytics, reporting, and Self-Service Intelligence use cases
• Architect and optimize ETL and ELT workflows to ingest, transform, and integrate data from diverse internal and external data sources
• Collaborate with data scientists, analysts, and business stakeholders to translate analytical and reporting requirements into scalable, production-ready data solutions
• Enable and optimize data models, semantic layers, and certified datasets to support Power BI dashboards and SSI-driven analytics consumption
• Establish and enforce data quality, integrity, security, and governance standards across all data processing and analytics layers
• Support controlled self-service analytics by designing reusable, well-documented datasets that reduce dependency on IT teams
• Monitor, troubleshoot, and resolve data ingestion, transformation, and performance issues impacting reporting and self-service users
• Implement data warehousing structures, dimensional models, and performance-optimized schemas aligned with business consumption patterns
• Automate recurring engineering processes to improve operational efficiency, reliability, and scalability
• Maintain clear documentation covering data flows, transformation logic, and architectural components to support data discovery and adoption

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline
• Minimum of 3 years of hands-on experience in data engineering or a closely related role
• Strong proficiency in SQL and experience with programming languages such as Python, Scala, or Java
• Practical experience with big data technologies such as Hadoop, Spark, Kafka, or equivalent platforms
• Proven experience with Power BI, including dataset preparation, data modeling, and performance optimization
• Hands-on experience enabling Self Service Intelligence or Self-Service BI in enterprise analytics environments
• Exposure to cloud platforms such as AWS, Azure, or GCP, including services like Redshift, BigQuery, Data Factory, or equivalent tools
• Solid understanding of data warehousing concepts, dimensional modeling, and star schema design
• Knowledge of data governance, security, and compliance practices in regulated or enterprise environments
• Strong analytical mindset with the ability to communicate technical concepts effectively to business stakeholders

Please send your detailed resume in MS Word format to [email protected] with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability