Senior Data Analyst jobs in United States
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TALENTMATE
Senior Data Engineer
Job summary
A leading financial institution in the UAE is looking for a Data Engineer to design and optimize data infrastructure. The role involves managing ETL processes, collaborating with teams, and ensuring data integrity. Candidates should have over 5 years of experience in data engineering, strong SQL skills, and proficiency in cloud platforms. This is a great opportunity to advance your career in a dynamic industry.
Qualifications
- 5+ years of experience in data engineering, ETL development, or data warehousing.
- Experience with tools for automating data workflows.
- Strong coding skills in Python and at least one other language (Scala/Java).
Responsibilities
- Design and build scalable data infrastructure and pipelines.
- Implement ETL processes to manage data from multiple sources.
- Collaborate with engineers to ensure seamless data accessibility.
Skills
Education
Tools
Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting & dynamic industry.
The role profile below outlines the responsibilities and qualifications for a Data Engineer focused on designing, building, and optimizing scalable data infrastructure and pipelines to process and manage both structured and unstructured data, powering advanced AI solutions.
- Designs, builds, and optimizes scalable data infrastructure and pipelines to process and manage both structured and unstructured data, powering advanced AI solutions
- Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources
- Process and manage complex datasets to support business and analytical needs
- Conduct regular testing and enhancement of data pipelines to improve efficiency
- Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity
- Collaborate with software engineers and AI/ML engineers to ensure seamless data accessibility
- Implement best practices for data governance, security, and quality assurance
- Document data architectures, lineage, and metadata to ensure transparency and reproducibility
- 5+ years of experience in data engineering, ETL development, or data warehousing
- Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations
- Experience with big data architectures and optimizing data pipelines
- Deep familiarity with SQL for data manipulation and querying
- Strong coding skills in Python, and at least one other language (Scala/Java)
- Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)
- Strong analytical skills for working with large-scale unstructured datasets
- Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders
- Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.