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Senior BI Engineer

Kamayi
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Senior BI Engineer

Dubai, United Arab Emirates

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Job Openings Senior BI Engineer

About the job Senior BI Engineer

Senior BI Engineer (PL/SQL & MicroStrategy)

Location

Client Premises, Dubai, UAE

Salary

AED 10,000 – 13,000 per month

Benefits

Work visa, air tickets, medical insurance, gratuity, paid time off

Experience Required

Minimum 5 to 7 years of relevant work experience

This role is critical for designing, developing, and implementing robust database solutions for a major international airline. You will work with complex data sets to transform, analyze, and build scalable data integration and warehousing systems. The position requires close collaboration with various IT and business departments to achieve project objectives.

Key Responsibilities

Database Solution Design

Design and build advanced database solutions to meet evolving data requirements.

Data Integration & Warehousing

Develop and implement data integration and warehousing solutions for complex, disparate data sources.

Data Transformation & Analysis

Perform comprehensive data transformation and analysis on large- scale datasets.

Collaborative Delivery

Collaborate effectively with cross-functional teams to deliver common project goals.

Performance Optimization

Optimize database queries and ETL processes for maximum efficiency and scalability.

Required Skills & Experience

Core Expertise

5-7 years hands-on experience with PL/SQL and Amazon Redshift.

BI Platform Proficiency

Demonstrated experience with MicroStrategy BI platform development and implementation.

Advanced SQL/PL/SQL

Strong skills in writing, optimizing, and debugging complex SQL queries and stored procedures.

Data Modeling

Proficiency in data modeling, schema design, and query optimization on Oracle and Redshift.

Cloud & Big Data

Experience with Amazon Cloud Services (AWS) and a preference for Hadoop, Hive, or Spark frameworks.

Domain Knowledge

Prior experience within the airline domain is highly preferred.

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Skills

  • PL/SQL
  • ETL
  • Redshift
  • SQL
  • Oracle Database
  • AWS
  • Hadoop
  • Hive
  • Spark

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