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INSTANT JOB AD
Hire INSTANTLY with AI and get highly relevant candidates in 72 hours
CAREER PAGE
Build your personalized career page with strong company branding to attract candidates and manage your job vacancy.
AJOBTHING REVIEW
Explore what employers love about AJobThing recruitment platform for fast & successful hiring
Data Engineer Job Description
A Data Engineer is responsible for designing and building the infrastructure that enables data generation, processing, and storage. They work closely with data scientists to ensure systems meet performance and accuracy requirements.
This Data Engineer job description template can help you find the right talent to enhance your data capabilities. Adjust the details to reflect your organization’s specific needs and technologies.
Data Engineer Responsibilities Include:
- Designing and implementing data pipelines
- Building and maintaining data infrastructure
- Optimizing data workflows for performance and scalability
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Job Brief
We are seeking an experienced Data Engineer to join our data team. In this role, you will design scalable data pipelines and frameworks that support efficient data processing and analysis. Your technical expertise will help unlock new insights and drive data-driven decisions across the organization.
Collaboration with data scientists and other stakeholders will be essential, as you ensure that data systems are tailored to meet business objectives. You will also assess existing databases and recommend optimizations for performance.
If you’re passionate about transforming data into actionable insights and have a strong background in data engineering, we’d love to hear from you. Ideal candidates will have experience with data warehousing technologies and programming languages.
Join us and help shape the future of our data strategy!
Responsibilities
- Designing and implementing data pipelines
- Building and maintaining data infrastructure
- Optimizing data workflows for performance and scalability
- Collaborating with cross-functional teams to gather requirements
- Troubleshooting data-related issues
- Ensuring data quality and integrity
- Developing and implementing data security measures
- Staying up-to-date with industry trends and best practices
- Providing technical guidance and support to team members
- Contributing to data-driven decision-making processes
Requirement
- Bachelor's degree in Computer Science or related field
- Proven experience in data engineering
- Proficiency in SQL and Python
- Experience with data warehousing solutions
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities
- Ability to work with large data sets
- Knowledge of data visualization tools
- Experience with cloud platforms such as AWS or Azure
- Understanding of machine learning concepts
Skills
- SQL
- Python
- Data warehousing
- Data visualization
- Cloud platforms
- Machine learning
- Data security
- Data analysis
- ETL processes
- Big data technologies