Data Engineer job description
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What does a Data Engineer do?
The Data Engineer is crucial in building and optimizing data pipelines, enabling data-driven decision-making across the organization. This role supports company objectives by ensuring the availability and quality of data required for analytics and business insights.
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What are the Key Responsibilities of Data Engineer
- Design and implement scalable data pipelines.
- Develop, construct, test and maintain architectures such as databases and large-scale data processing systems.
- Perform data integration and ensure data quality and reliability.
- Work with stakeholders to assist with data-related needs and technical issues.
- Optimize data delivery and streamline data processes.
- Collaborate with data scientists and data analysts on projects.
- Ensure compliance with data governance and security protocols.
- Troubleshoot and resolve data infrastructure issues.
- Stay current with industry trends and technology advancements.
What are the Skills and Requirements for a Data Engineer?
- Strong programming skills in languages like Python or Java.
- Proficiency in SQL and database management systems.
- Familiarity with big data tools such as Hadoop, Spark, or Kafka.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Strong problem-solving skills and attention to detail.
- Effective communication and teamwork capabilities.
What are the KPIs to track for Data Engineer?
Data Engineer's performance is evaluated based on the efficiency and reliability of data pipelines, improvement in data system scalability, and successful implementation of data solutions that meet business requirements.
Pipeline Efficiency
Reduction in data processing times and latency.
Data Quality
Consistently high levels of data accuracy and reliability.
System Scalability
Ability to handle increasing data volumes effectively.
Reports to
Data Engineering Manager
Collaborates with
Data Scientists, Data Analysts, IT Teams
Leads
Junior Data Engineers or Data Engineering Interns
Are any specific tools or software required for the Data Engineer role?
- Apache Hadoop
- Apache Spark
- Kafka
- SQL
- Python
- AWS
- Azure
- Google Cloud Platform
What is the qualification of Data Engineer?
Bachelor's or Master's degree in Computer Science, Engineering, or related field with 3-5 years of experience in data engineering or related roles.
