- Experience
- Any
- Salary
- USD 30 – USD 100 / hour
- Openings
- 1
- Posted
- hace 5 horas
- Work mode
- Work from home
- Resume
- Required to apply
Job description
Role Overview
We are seeking a skilled Data Engineer on a contract basis to design, develop, and maintain scalable data pipelines and infrastructure for a global software and data analytics company. This remote position supports data-driven decision-making by ensuring data accessibility, quality, and reliability.
Key Responsibilities
- Create, optimize, and manage data pipelines that extract, transform, and load data from multiple sources into designated systems.
- Develop and operate ETL or ELT workflows to enable data warehousing and analytics initiatives.
- Maintain the integrity, consistency, and security of data assets across platforms.
- Monitor pipeline performance, troubleshoot issues, and apply enhancements to improve efficiency and reliability.
- Work collaboratively with data scientists, analysts, and other teams to meet their data requirements with high-quality solutions.
Required Skills and Qualifications
- Proficiency in SQL and programming languages such as Python or Scala for data engineering tasks.
- Experience with data pipeline and workflow orchestration tools like Apache Airflow, Apache Spark, or equivalents.
- Familiarity with major cloud service providers (AWS, Google Cloud Platform, Azure) and their data-related offerings.
- Understanding of data modeling principles, data warehousing architecture, and schema design methodologies.
- Strong analytical and problem-solving abilities, capable of thriving in a dynamic and collaborative environment.
Additional Information
This contract role offers the flexibility to work remotely from anywhere, with variable working hours that balance professional advancement with personal needs. The position is part of a company specialized in software development, technology, and data infrastructure and analytics.
Equal Employment Opportunity
Hiring decisions are based solely on candidates' expertise and qualifications. All interested and skilled applicants are encouraged to apply regardless of background or previous work history.
Compensation
Payout ranges from $30 to $100 per hour depending on experience and expertise.