Data Analytics Engineer

Job Title

Data Analytics Engineer

Dubai, United Arab Emirates

We are seeking a Data Analytics Engineer to design and maintain ETL pipelines, automate data workflows, and create insightful visualizations. The ideal candidate will have expertise in SQL (MS SQL, Postgre

SQL, Oracle), Python, APIs, SSIS/SSRS, and data visualization tools like Power BI and Tableau. This role involves data mining, transformation, and business intelligence, ensuring data is accessible, optimized, and effectively visualized for decision‑making.

• Design, develop, and maintain ETL pipelines using SQL, SSIS, and Python.
• Extract, transform, and load (ETL) data from APIs and multiple data sources into relational databases.
• Query, optimize, and manage databases, including MS SQL Server, Postgre
  
  SQL, and Oracle.
• Automate data workflows and pipelines using Python (pandas, Num Py, SQL Alchemy).
• Build and maintain SSRS reports and dashboards for reporting and insights.
• Develop interactive data visualizations using Power BI and Tableau to support business intelligence.
• Ensure data integrity, consistency, and governance across systems.
• Collaborate with cross‑functional teams to provide data‑driven insights.
• Assist in database performance tuning and optimization strategies.

• SQL:
  Strong proficiency in writing complex queries, stored procedures, functions, and views.
• Python:
  Experience with pandas, Num Py, SQL Alchemy, and automation scripts.
• SSIS (SQL Server Integration Services):
  Experience designing and maintaining ETL processes.
• SSRS (SQL Server Reporting Services):
  Experience building reports and dashboards.
• APIs:
  Ability to extract, transform, and load data from RESTful APIs into databases.

• Experience with MS SQL Server, Postgre
  
  SQL, and Oracle.
• Stored Procedures & Views:
  Proficiency writing optimized procedures, functions, and views.
• Strong experience in database schema design, indexing strategies, and performance tuning.
• Experience in data security, role‑based access, and governance best practices.

• Power BI & Tableau:
  Strong experience 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 and measures.

• 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.

• 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.

• Communication:
  Translate complex technical concepts to non‑technical stakeholders.
• Collaboration:
  
  Experience working across departments, engaging with analysts and IT teams.
• Self‑Starter:
  Take initiative and work independently on data challenges.

• Experience with cloud‑based data solutions (Azure SQL, AWS RDS, Google Big Query).
• Familiarity with big data processing frameworks (Spark, Hadoop, Databricks).
• Knowledge of Docker and containerization for ETL workloads.

Role Level: Entry‑Level | Work Type:
Full‑Time | Country:
United Arab Emirates | City:
Dubai | Company Industry: IT Services and IT Consulting

Company Website: