Data Engineer - Infrastructure (Remote)
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Key skills for this role
About the Role
A global leader in Software Development and Data Infrastructure is hiring a Data Engineer on a contract basis to design and maintain scalable data pipelines and infrastructure. The role involves implementing ETL/ELT processes, ensuring data integrity, and collaborating with cross-functional teams.
Key Skills for This Role
Responsibilities
- Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems
- Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives
- Ensure data integrity, consistency, and security across all data assets and systems
- Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability
- Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high quality data solutions
Requirements
- Experience with SQL, Python, or Scala for data engineering tasks
- Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks
- Knowledge of cloud platforms (AWS, GCP, Azure) and their data services
- Familiarity with data modeling, warehousing concepts, and schema design
- Strong problem solving skills and ability to work in a fast paced, collaborative environment
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure to support data driven decision making.
- You will collaborate with cross functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.
Key Responsibilities
- Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.
- Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.
- Ensure data integrity, consistency, and security across all data assets and systems.
- Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.
- Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high quality data solutions.
Required Skills & Qualifications
- Experience with SQL, Python, or Scala for data engineering tasks.
- Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks.
- Knowledge of cloud platforms (AWS, GCP, Azure) and their data services.
- Familiarity with data modeling, warehousing concepts, and schema design.
- Strong problem solving skills and ability to work in a fast paced, collaborative environment.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the modernization of data infrastructure and enabling advanced analytics capabilities.
- The position allows for remote work with flexible hours, providing a balance between professional growth and personal flexibility.
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