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Data Integration Specialist

1 week ago

Dubai, Dubai, United Arab Emirates Talent Pal Full time

About Us

Talent Pal is a beacon of innovation and growth in the ever-evolving world of data integration. Our heritage is built upon a century of combined expertise where creativity meets technology and diverse perspectives ignite inspiration. With a global family of over 30,000 employees across 150 offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences.

We deliver end-to-end solutions that result in revolutionary work by fostering an all-inclusive work environment that is both rewarding and career-forward. Our Inclusion, Equity & Belonging initiatives alongside the Talent Pal Foundation reflect our dedication to giving back and making a positive impact in our communities and beyond.

Position Overview

We are seeking an experienced Senior Data Engineer to lead the development of a new data integration for a key client. In this role, you will work closely with the Data Architect and lead the implementation/development phase, working with the data scientist/analyst to incorporate analytics and modeling. You will handle data from various sources including operational systems, marketing platforms, website data layers (Sitecore and GA4), mobile applications, and potentially third parties.

Responsibilities

  • Design the data models, pipelines, and integrations to support various business functions including customer relationship management (CRM), marketing automation, reporting, and customer insight.
  • Develop and manage robust ETL pipelines to extract, transform, and load data from diverse sources into Google BigQuery and Microsoft Azure.
  • Ensure systems meet business requirements and industry practices for data quality, data governance, and data security.
  • Collaborate with data architects, modelers, and IT team members on project goals and objectives.
  • Identify opportunities for data acquisition and new uses for existing data.
  • Create custom software components and analytics applications as required.
  • Stay abreast of industry best practices and emerging technologies in data architecture.