A Data Engineer, or Data system engineer, converts the raw data into usable information for the company. They are responsible for developing and maintaining data processing software like databases. For this, they create unique data infrastructure, run tests, and update the systems.
Data Engineer Duties And Responsibilities
Data engineers create and maintain an optimal data infrastructure. They combine raw information to create machine-readable formats. These are the major duties and responsibilities of a data engineer
- Putting together large, intricate data sets to satisfy both functional and non-functional business needs.
- Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
- Building necessary infrastructure using AWS and SQL technologies. This will enable effective data extraction, transformation, and loading from a variety of data sources.
- Reformulating existing frameworks to maximise their functioning.
- Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.
- Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
- Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
- Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results.
- Knowledge of how to create and improve data sets, “big data” data pipelines, and infrastructures.
- Being able to do root cause analysis on data and procedures both internally and outside to find possibilities for improvement and provide clarification.
- Outstanding analytical abilities related to coping with unstructured datasets.
- Capacity to develop procedures that support task management, data structures, dependence, and metadata.
- Knowledge of data models, data mining, and segmentation techniques.
- Understanding of programming languages like Java and Python.
- Familiarity with Hadoop, HBase, MapReduce, and other suitable platforms.
- Excellent understanding of operating systems like UNIX, Linux, and Windows.
- Strong project management and organisational skills.
Please reach out to me on 732-314-6545 or Smily@ptcit.com
Note:No C2C or sub contracting allowed. Must work on a W2.
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Job Type: Contract
Salary: $36.00 - $40.00 per hour
Benefits:
- Green card sponsorship
- Health insurance
- Life insurance
- Paid holidays
- Visa sponsorship
Compensation package:
- 1099 contract
- Hourly pay
- Yearly pay
Experience level:
- No experience needed
Schedule:
- 8 hour shift
Work Location: In person