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BlackStone eIT

System integrator delivering AI-enabled digital transformation

Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeDubai - United Arab EmiratesNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, or a related field is required.
  • At least 3 years of experience in data engineering or data platform development is required.
  • Proficiency in SQL and experience with relational databases such as PostgreSQL or MySQL are required.
  • Familiarity with data pipeline and ETL tools such as Apache Airflow, Azure Data Factory, or similar tools is required.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud is required.
  • Knowledge of data security, governance, and quality best practices is required.
  • The role requires Python or another programming or scripting language for data processing.
  • Strong analytical and problem-solving skills are required.
  • The role requires good communication skills and the ability to work effectively in a team environment.
  • The listed technologies and practices include Python for asynchronous data pipelines, background jobs, and scripting; PostgreSQL schema design, Alembic migrations, and query optimization; Azure Data Lake Storage and Synapse Analytics; dbt transformation, testing, and documentation; Apache Airflow or Azure Data Factory; data quality frameworks such as Great Expectations, dbt tests, or custom frameworks; structured logging and alerting using Azure Monitor or Prometheus/Grafana; Microsoft Graph API for SharePoint and Microsoft 365 data extraction; Redis queue management and caching; Docker for containerized pipeline jobs; and advanced SQL analytical queries, window functions, and performance tuning.

Responsibilities

  • Develop and maintain data pipelines for ingestion, processing, and storage of large datasets.
  • Implement ETL/ELT processes to transform raw data into usable formats.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Ensure data quality, consistency, and reliability across platforms.
  • Optimize database performance and monitor platform health.
  • Assist in the design and implementation of data governance and security measures.
  • Document data infrastructure and processes for operational clarity.

About the Company

BlackStone eIT

System integrator delivering AI-enabled digital transformation

Blackstone eIT is a system integrator and independent software vendor that helps organizations modernize through customized technology solutions across strategy, development, and managed services. It combines consulting, custom software, IT governance, workflow automation, and UI/UX design with hosted data storage, network, and security to support the full digital transformation lifecycle. It emphasizes long-term partnerships and uses intelligent technologies such as AI, machine learning, computer vision, big data analytics, blockchain, and IoT, including Agentic AI and Generative AI across its offerings and proprietary products like a Business Excellence Suite, Learning Management System, e-invoicing platform, Carbon Management Platform, and archiving system. Its goal is to help clients become digital-first, data-informed, and AI-enabled, with the aim of reducing costs and improving operational efficiency across finance, education, government, and manufacturing.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2014

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