Products
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
Resources
Products
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:
- Design, build, and maintain scalable data pipelines
- Collaborate with cross-functional teams to gather and analyze data requirements
- Develop data models and schemas to support business needs
Hiring an Assistant Manager?
- Hire FAST in 72 Hours
- Quality Candidates
- Integrated AI
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
- Design, build, and maintain scalable data pipelines
- Collaborate with cross-functional teams to gather and analyze data requirements
- Develop data models and schemas to support business needs
- Optimize and tune data storage and retrieval processes
- Implement data quality and governance processes
- Troubleshoot and resolve data-related issues
- Stay current with industry trends and best practices
- Contribute to the continuous improvement of data engineering processes
- Document data engineering workflows and procedures
- Provide technical guidance and support to team members
Requirement
- Bachelor's degree in Computer Science or related field
- Proven experience in data engineering
- Strong programming skills in languages such as Python, SQL, and Java
- Experience with big data technologies like Hadoop, Spark, and Kafka
- Knowledge of data modeling and database design principles
- Ability to work in a fast-paced environment and meet deadlines
- Excellent problem-solving skills
- Strong communication and teamwork abilities
- Attention to detail and accuracy
- Ability to adapt to new technologies and tools
Skills
- Data modeling
- Database design
- ETL processes
- Data warehousing
- Data visualization
- Machine learning
- Cloud computing
- Statistical analysis
- Data governance
- Python programming