Data Infrastructure Engineer (Remote)
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Key skills for this role
Role Overview
The employer is hiring a Data Infrastructure Engineer for one of its clients.
The role focuses on scalable data pipelines and infrastructure that support business insights and decision-making.
The position involves collaboration with cross-functional teams to deliver high-quality data solutions.
Key Skills for This Role
Full Job Posting
Role Overview
The employer is hiring a Data Infrastructure Engineer for one of its clients.
The role focuses on scalable data pipelines and infrastructure that support business insights and decision-making.
The position involves collaboration with cross-functional teams to deliver high-quality data solutions.
Location and Work Arrangement
- The role is remote and described as work from anywhere.
- The source lists Abu Dhabi, UAE as the posting location while the job description specifies remote work from anywhere.
Compensation
- The stated payout is $140,000 to $180,000 per year.
Key Responsibilities
- Design, develop, and optimize pipelines for extracting, transforming, and loading large datasets.
- Implement and maintain data warehouses and data lakes for analytical and operational reporting.
- Collaborate with data scientists and analysts to maintain data accessibility and integrity.
- Monitor pipeline performance and troubleshoot reliability or efficiency issues.
- Document data architecture, processes, and standards for team reference and compliance.
Required Skills and Qualifications
- Proficiency in SQL and experience with relational and NoSQL databases.
- Experience with ETL or ELT tools such as Airflow, Spark, or similar frameworks.
- Knowledge of data modeling and warehouse design principles.
- Familiarity with AWS, GCP, or Azure for data infrastructure.
- Strong problem-solving skills with attention to scalability and performance.
Opportunity Context
The opportunity is with a global leader in the software development industry.
The team values technical excellence and innovation in data engineering.
The work contributes to data-driven solutions intended to enhance customer experiences.
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