Data Engineer
3 weeks ago
The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Data accessibility is their ultimate goal, which is to enable organizations to utilize data for performance evaluation and optimization.
As a Data Engineer, you will be responsible for the following:
Responsibilities
- Assembling large, complex sets of data that meet non-functional and functional business requirements
- Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
- Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
Requirements and Skills
- Bachelor's degree in data engineering, big data analytics, computer engineering, or related field.
- At least three (3) years of work experience as a data engineer, software developer, or similar.
- Expert proficiency in Python, C++, Java, R, PHP, and SQL.
- Extensive hands-on experience with cloud platforms such as AWS (Amazon Web Services) and GCP (Google Cloud Platform)
- Ability to build and optimize data sets, 'big data' data pipelines and architectures
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
- Ability to navigate and troubleshoot in Unix-based environments for efficient data processing and management
- Experience in identifying and resolving errors, optimizing code performance, and maintaining PHP-based data processing systems
- Excellent analytic skills associated with working on unstructured datasets
- Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
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