Data Engineer (UAE National)

EMSTEEL Group; Abu Dhabi; On-site; AED 279,000 - 502,000; Full time

Job summary

EMSTEEL Group in Abu Dhabi is seeking a Data Engineer to design, build and maintain robust data infrastructure to support large-scale data processing and analytics initiatives. You will implement ETL pipelines, data integration, and modeling to ensure reliable data for decision-making.

With 3+ years of data engineering experience, you will work across data warehouses and data lakes, emphasizing data quality, security, and scalable performance.

Qualifications

• Bachelor’s or Master’s in Computer Science or a related 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)

Responsibilities

• Data pipeline development: design and construct ETL pipelines from diverse sources into data warehouses or data lakes.
• Data integration: combine data from databases, APIs, streaming platforms, and external providers.
• Data modeling: design data models for efficient querying, reporting, analytics, and ML.
• Data warehousing: work with data warehouses like Redshift, BigQuery, or Snowflake.
• Data quality assurance: implement data validation and cleansing procedures.
• Performance tuning: optimize pipelines and databases for performance and scale.
• Data security: implement security measures and ensure data privacy compliance.
• Monitoring and maintenance: monitor pipelines, troubleshoot, and perform routine maintenance.
• Documentation: maintain up-to-date docs for pipelines, schemas, and processes.
• Collaboration: work with data scientists, analysts, and stakeholders to meet data needs.

Skills

Data engineering

Machine learning

Statistical modeling

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Azure

AWS

Job description

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)