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The IT company Andersen invites a Data Engineer to join its team for working with a company from the UAE. This position requires on-site in the Abu Dhabi office, but we are also open to considering candidates from other countries for relocation. The customer is a government entity that manages public affairs and oversees various corporate and philanthropic projects. The company is embarking on a transformative digital journey to enhance its operational efficiency and customer experiences. The project focuses on digital transformation in the UAE to develop and support digital solutions, enhance social services, strengthen public engagement, advance international relations, and optimize administrative processes.
Job Responsibility:
Designing and managing data pipelines, ETL processes, and data storage solutions
Working with SQL, NoSQL, and big data technologies
Ensuring data quality, governance, and compliance with security standards
Collaborating with AI Engineers to prepare and process datasets for machine learning
Developing and optimizing scalable data architectures
Automating ETL/ELT workflows
Implementing data streaming solutions
Ensuring data security and compliance by implementing access controls, encryption, and monitoring
Monitoring and maintaining data pipeline performance, troubleshooting issues and optimizing workflows
Building and maintaining data warehouses and data lakes
Enabling self-service data access by designing and managing data catalogs and metadata systems
Optimizing query performance and indexing strategies
Managing data versioning and lineage tracking
Implementing CI/CD for data pipelines
Collaborating with DevOps teams to containerize and deploy data services
Supporting data scientists and analysts
Requirements:
Experience as a Data Engineer for 4+ years
Strong experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, Redis)
Expertise in big data technologies (Hadoop, Spark, Kafka, Flink)
Hands-on experience with ETL/ELT tools (Apache Airflow, dbt, Talend, Informatica)
Proficiency in Python for data processing
Experience with cloud data platforms (Azure Synapse)
Understanding of data modeling, indexing, and partitioning for performance optimization
Knowledge of data lake architectures (Delta Lake, Iceberg, Hudi)
Familiarity with data security best practices (RBAC, encryption, GDPR, HIPAA compliance)
Experience with data lineage, metadata management, and observability tools
Understanding of MLOps and data preparation for AI/ML applications
Level of English – from Upper-Intermediate and above
What we offer:
Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant
Guarantee of professional, financial, and career growth
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program
English courses
Private health insurance and compensation for sports activities
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