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Data & Analytics Engineer
Fecundity Technologies · Dubai
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Job description
About the Role
We are looking for a skilled Data & Analytics Engineer to design, build, and maintain scalable data pipelines and reporting solutions. The ideal candidate will have hands-on experience with cloud-based data warehousing, ETL/ELT pipeline development, and business intelligence tools, enabling the organization to make data-driven decisions with reliable and well-structured data.
Key Responsibilities
- Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) to ingest, transform, and load data from multiple source systems.
- Build and optimize data models and pipelines within Azure Synapse Analytics for efficient data warehousing and analytics.
- Work with Google BigQuery to manage, query, and optimize large-scale datasets for analytical workloads.
- Develop interactive dashboards, reports, and visualizations using Power BI to support business stakeholders.
- Write efficient, optimized SQL queries for data extraction, transformation, and analysis across various platforms.
- Ensure data quality, consistency, and integrity across pipelines and reporting layers.
- Collaborate with business analysts, data scientists, and stakeholders to understand reporting and data requirements.
- Monitor and troubleshoot data pipeline performance issues, ensuring timely and accurate data delivery.
- Implement best practices for data governance, security, and documentation.
- Support ad-hoc data requests and analysis as needed by business teams.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
- X+ years of experience in data engineering, analytics engineering, or a similar role.
- Strong hands-on experience with:
- Google BigQuery — writing optimized queries, managing datasets, performance tuning
- Power BI — dashboard design, DAX, data modeling, report publishing
- Azure Synapse Analytics — data warehousing, pipeline integration
- Azure Data Factory (ADF) — pipeline orchestration, data ingestion, transformation workflows
- SQL — advanced query writing, stored procedures, performance optimization
- Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices.
- Experience working with structured and semi-structured data (CSV, JSON, Parquet, etc.).
- Strong analytical and problem-solving skills with attention to detail.
- Good communication skills to work with cross-functional teams and translate business needs into technical solutions.
Preferred / Nice-to-Have
- Experience with Python or PySpark for data processing.
- Familiarity with other cloud platforms (AWS, GCP) beyond Azure and BigQuery.
- Knowledge of CI/CD practices for data pipeline deployment.
- Experience with data governance and security frameworks.
- Prior experience in [specific industry, e.g., banking, retail, healthcare] is a plus.
Pay: AED14,000.00 - AED18,000.00 per month
Work Location: In person
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