Data Engineer (UAE National)

About the Role:

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.

Key Responsibilities:

• 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 BigQuery, 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.

Qualifications & Experience:

• 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)