AWS Cloud BI & Spark Reporting Engineer

Remotedxb; Dubai; On-site; AED 240,000 - 360,000; Full time

Benefits offered by this job

401K with company match

Comprehensive health and wellness

Paid vacation, sick, and personal time

Paid parental and military leave

Professional growth opportunities and

Job summary

GDIT is seeking a data engineering specialist in Dubai to design and implement cloud-based BI and data reporting solutions using AWS. You will build data pipelines, tune big data environments, and manage IAM policies to support scalable BI across multiple sources.

The role requires 4+ years of experience with Spark, AWS services, and BI report development, with preferred skills in Scala or Python and experience with CMS-friendly data environments including FWA data.

Qualifications

• Bachelor's degree is required.
• 4+ years of related experience.
• Minimum 2 years of Spark experience.
• 3 years of AWS services experience.
• Proficiency in BI report development.
• Experience with Big Data technologies like S3, Snowflake, or Databricks.

Responsibilities

• Utilize Spark and AWS cloud to retrieve data from S3/Postgres SQL and set up triggers.
• Design and implement cloud-based BI and data reporting solutions using AWS.
• Build data pipelines and workflows to integrate data from multiple sources into a centralized BI platform.
• Perform tuning in big data environments and manage AWS IAM concepts.
• Optimize BI solutions for performance, scalability, and usability.
• Develop BI reports using SAP Business Objects and Power BI.

Skills

Spark

AWS

BI report development

Big Data

Agile

Scala

Python

Education

Bachelor's degree

Tools

S3

Snowflake

Databricks

SAP Business Objects

Power BI

Job description

GDIT is seeking a data engineering specialist in Dubai to design and implement cloud-based BI and data reporting solutions using AWS. You will build data pipelines, tune big data environments, and manage IAM policies to support scalable BI across multiple sources.

The role requires 4+ years of experience with Spark, AWS services, and BI report development, with preferred skills in Scala or Python and experience with CMS-friendly data environments including FWA data.