Data Engineer; UAE National

As a Data Engineer, he /she will play a pivotal role in delivering Data engineering Solutions. With 3+ years of experience in data engineering is a professional responsible for designing, building, and maintaining the infrastructure and systems that enable organizations to collect, store, process, and analyze large volumes of data. They play a crucial role in ensuring that data is available, reliable, and accessible for various data-driven applications and analytics.

• Data Pipeline Development:
  Data engineers design and construct data pipelines that extract, transform, and load (ETL) data from various sources into data warehouses or data lakes. These pipelines ensure data consistency and quality.
• Data Integration:
  They integrate data from diverse sources, such as databases, APIs, streaming platforms, and external data providers, into a unified data ecosystem.
• Data Modeling:
  Data engineers design and implement data models that support efficient querying and reporting, as well as analytics and machine learning processes.
• Data Warehousing:
  They work with data warehousing technologies like Amazon Redshift, Google Big Query, or Snowflake to store and manage large datasets.
• Data Quality Assurance:
  Ensuring data accuracy and quality is a critical responsibility. Data engineers often implement data validation and cleansing procedures.
• Performance Tuning:
  Optimizing data pipelines and databases for performance and scalability is essential to handle growing data volumes.
• Data Security:
  Data engineers are responsible for implementing security measures to protect sensitive data and ensure compliance with data privacy regulations.
• Monitoring and Maintenance:
  They monitor data pipelines and systems for issues, troubleshoot problems, and perform routine maintenance to ensure data availability.
• Documentation:
  Maintaining clear and up-to-date documentation for data pipelines, schemas, and processes is vital for knowledge sharing and compliance.
• Collaboration:
  
  Collaborating with data scientists, analysts, and other stakeholders to understand their data requirements and deliver data solutions that meet their needs.

• Bachelor’s or Master’s in a Computers or similar field
• 3+ years of experience in data engineering, with a strong focus on machine learning and statistical modeling
• Azure/ AWS Certified (Nice to have)
• Experience in working with data Science and BI tasks (Nice to have)