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Data Engineer Job Description: Key Duties, Skills & Wages
- A data engineer is responsible for building, managing, and maintaining the systems that collect, store, and transform big data.
- Key responsibilities usually include developing data architecture, creating data pipelines, optimizing data storage, maintaining data quality and security, tracking system performance, and working with other teams.
- The core technical skills required for the job include expertise in programming languages (Python, SQL, Java, or Scala), familiarity with big data technologies (Hadoop, Spark, or Kafka), experience with cloud platforms (AWS, Google Cloud, Azure, etc.), database management skill, and knowledge of data warehouses.
- Soft skills such as problem-solving and communication abilities are also crucial for data engineers.
- A bachelor's degree in computer science, engineering, applied math, or any data-related field is sufficient to get into the field, but data engineers may require advanced certification for more senior positions.
- The demand for data engineers is high because big data and real-time data processing are necessary for companies' success.
- Average data engineer salaries in the United States are $125,345 a year, but can vary depending on experience level, industry and location, role's complexity level, and skills.
- Coding knowledge is essential for data engineering as the majority of tasks involve coding. Limited coding skills can limit a candidate's ability to enter the field, but transitioning through data analyst roles is possible.
- To become a data engineer, candidates need to understand the job responsibilities, develop essential skills through courses and practical projects, continuously learn from industry leaders, and look for mentorship or internship opportunities.
- Data engineering position is an in-demand role with job security and a promising salary. Designveloper is recruiting data engineers for their Lumin project.
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