Data Analytics Engineer

Job Details:

Role: Data Analytics Engineer

Job Type: 12 months & extendable

Work Location: Dubai, United Arab Emirates

Start Date: Immediate joiners to a maximum of 30 days’ notice preferred

Salary & Benefits: (Negotiable based on the expertise)

Technical Skills:

Programming & Scripting:

• SQL: Strong proficiency in writing complex queries, stored procedures, functions, and views.

• Python: Experience with pandas, NumPy, SQLAlchemy, and automation scripts.

• SSIS (SQL Server Integration Services): Experience in designing and maintaining ETL processes.

• SSRS (SQL Server Reporting Services): Experience in building reports and dashboards.

• APIs: Ability to extract, transform, and load (ETL) data from RESTful APIs into databases.

Database Management:

• Experience with MS SQL Server, PostgreSQL, and Oracle.

• Stored Procedures & Views: Proficiency in writing optimized stored procedures, functions, and database views.

• Strong experience in database schema design, indexing strategies, and performance tuning.

• Experience in data security, role-based access, and governance best practices.

Kerzner business use

Data Visualization & Business Intelligence:

• Power BI & Tableau: Strong experience in creating interactive dashboards and reports.

• Ability to present complex data in a clear, visually compelling, and actionable format.

• Experience with DAX (for Power BI) and creating calculated fields/measures.

Data Engineering & Automation:

• Expertise in data wrangling, transformation, and preprocessing.

• Python-based workflow automation and ETL pipeline development.

• Experience with batch and real-time data processing.

• Knowledge of data warehousing concepts and database optimization techniques.

Analytical & Statistical Skills

• Descriptive Statistics: Knowledge of probability, hypothesis testing, and distributions.

• Data Interpretation: Ability to extract actionable insights from datasets.

• Problem-Solving: Identifying trends, patterns, and anomalies to improve processes.