Senior Data & Governance Engineer

VAM Systems; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading technology firm is seeking a Sr Data & Governance Engineer for its UAE operations. The role requires 6 years of experience with expertise in data management, governance, and the ability to build scalable data pipelines using AWS and Databricks. Proficiency in Python and SQL, along with a DAMA certification, is essential. The position is full-time with a joining timeframe of 15-30 days and does not support remote work.

Qualifications

• 6 years of experience in data engineering and governance.
• Expertise in data management and quality assessment.
• Hands-on experience in ETL development and data integration.

Responsibilities

• Build and manage scalable data pipelines on AWS and Databricks.
• Implement data governance frameworks and best practices.
• Automate data preparation and integration tasks.

Skills

Data Management

AWS

Databricks

Python

SQL

Apache Spark

Data Governance

ETL Development

Data Integration

Education

DAMA Certification

Job description

VAM Systems is currently looking for Sr Data & Governance Engineer (Offshore) for our UAE operations with the following skillsets & terms and conditions:

Experience : 6 years

Mandatory Skills

• Expertise in Data Management Enterprise data modelling governance & data quality assessment practices. Understanding of DAMA DMBOK subject areas and ability to work on those areas.
• DAMA certification.
• Expertise in building and managing scalable data pipelines on platforms like AWS and Databricks
• Strong hands-on experience in ETL development data integration and real-time data streaming
• Proficiency in Python SQL and other relevant programming languages
• Experience with data engineering tools and frameworks like Databricks and Apache Spark
• Knowledge of data modeling data warehousing and data lake architecture Experience in designing and implementing AWS cloud data and analytics architecture
• Understanding of data governance frameworks and best practices
• Ability to automate data preparation integration tasks and implement best practices for data governance and security
• Hands-on experience with automated testing and continuous monitoring for data pipelines

Good to Have:

• Certification in cloud platforms such as AWS and Databricks INTERNAL
• Experience with DevOps practices in data engineering including CI/CD for data pipelines
• Strong collaboration skills with data scientists IT teams and business stakeholders

Terms and conditions

Joining time frame: (15 - 30 days)

Remote Work :

No

Employment Type :

Full-time