Senior Data Engineer

Posted 2 Days Ago
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Hiring Remotely in Cairo, EGY
Remote
Senior level
Information Technology • Consulting
The Role
Designs and develops scalable data architectures, ETL/ELT pipelines, data layers, and migration solutions. Analyzes and cleanses structured and unstructured data, optimizes SQL queries, monitors workflow performance, and supports batch and real-time processing. Collaborates with technical and business teams to create data models while applying governance, security, and compliance standards.
Summary Generated by Built In
Key Responsibilities
  • Data Architecture Design: Contribute to the design of scalable and secure data solutions, ensuring alignment with business and technical needs.
  • ETL/ELT Pipeline Development: Develop and optimize efficient pipelines to ingest, transform, and load data from diverse sources into structured formats for analytics.
  • Data Source Analysis: Analyze structured and unstructured data sources, recommending strategies for ingestion, processing, and classification.
  • Data Layer Development: Assist in building a robust data layer that supports both batch and real-time processing.
  • Data Ingestion & Cleansing: Implement strategies for validating and cleansing data to ensure quality and compliance with governance policies.
  • Query Optimization: Write and optimize SQL queries to improve performance and efficiency across large datasets.
  • Data Migration: Support migration projects from legacy systems to cloud platforms, ensuring accuracy and minimal downtime.
  • Performance Monitoring: Monitor data workflows, troubleshoot bottlenecks, and propose improvements.
  • Collaboration: Work closely with analysts, scientists, and business teams to translate requirements into data models.
  • Data Governance & Security: Apply governance standards and security best practices, ensuring compliance with regulations (e.g., GDPR).
  • Continuous Learning: Stay updated on emerging tools and practices, contributing to team innovation and improvement.
Qualifications
  • 5+ years of experience in data engineering or related roles.
  • Strong knowledge of SQL, relational databases, and query optimization.
  • Hands-on experience with ETL/ELT tools and cloud platforms (AWS, Azure, or GCP).
  • Familiarity with data governance, security, and compliance frameworks.
  • Solid understanding of batch and real-time data processing.
  • Collaborative mindset with ability to work across technical and business teams.

Skills Required

  • 5+ years of experience in data engineering or related roles
  • Strong knowledge of SQL, relational databases, and query optimization
  • Hands-on experience with ETL/ELT tools and cloud platforms such as AWS, Azure, or GCP
  • Familiarity with data governance, security, and compliance frameworks
  • Understanding of batch and real-time data processing
  • Ability to collaborate across technical and business teams
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The Company
HQ: Seattle, Washington
171 Employees
Year Founded: 2014

What We Do

We are a global team who's passionate about transformative enterprise solutions & intelligent design. Our solutions and designs are out to reshape the way people interact with technology. BlackStone eIT supplies innovative solutions to automate and digitally transform human and information intensive processes. We empower breakthrough business results with smarter workflows, augmented business intelligence with AI insights, and through real-time situational awareness which all drive better business outcomes. BlackStone offers a portfolio of next generation solutions, tools, and technologies to be used as a platform to transform traditional organizations into modern smart organizations. Our solutions are designed to dramatically reduce operating costs, increase competitiveness, mitigate risk, boost internal productivity, improve the customer and employee experience, and to make the previously impossible, possible

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