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INSTANT JOB AD
Hire INSTANTLY with AI and get highly relevant candidates in 72 hours
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Build your personalized career page with strong company branding to attract candidates and manage your job vacancy.
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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 and implement data pipelines for processing and analyzing large datasets
- Work closely with data scientists and analysts to understand business requirements
- Optimize data storage and retrieval processes 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
- Design and implement data pipelines for processing and analyzing large datasets
- Work closely with data scientists and analysts to understand business requirements
- Optimize data storage and retrieval processes for performance and scalability
- Develop and maintain data models and schemas for analytical purposes
- Collaborate with cross-functional teams to integrate data from various sources
- Monitor and troubleshoot data pipelines to ensure data quality and reliability
- Conduct performance tuning and optimization of database systems
- Stay current with industry trends and best practices in data engineering
- Document and communicate technical solutions to stakeholders
- Contribute to the continuous improvement of data engineering processes
Requirement
- Bachelor's degree in Computer Science or related field
- Minimum of 3 years experience in data engineering
- Proficiency in SQL and Python
- Experience working with Big Data technologies such as Hadoop and Spark
- Strong analytical and problem-solving skills
- Ability to work independently and in a team environment
- Excellent communication and collaboration skills
- Experience with data visualization tools like Tableau or Power BI
- Knowledge of cloud computing platforms like AWS or Azure
- Understanding of data governance and security best practices
Skills
- SQL
- Python
- Hadoop
- Spark
- Data Visualization
- Cloud Computing
- Data Governance
- Problem-Solving
- Collaboration
- Communication