Data Engineer
Data Engineer at Kaleidoscope Innovation (an Infosys company) in Charlotte, NC, adding features to an existing data engineering framework. Day to day: writing standalone PySpark/Python scripts for complex data transformations, applying OOP, testing and debugging, and documenting processes; AWS experience is a plus. No visa sponsorship offered.
- Compensation
- Not disclosed
- Location
- Charlotte, NC, US
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong hands-on experience with Python
- Strong hands-on experience with PySpark and data transformations
- Solid understanding of Object-Oriented Programming concepts
- Experience developing standalone scripts based on defined business logic
- Strong problem-solving and troubleshooting skills
- Ability to understand complex requirements and translate them into technical solutions
- Experience working with data engineering frameworks and large-scale data processing
- Excellent written and verbal communication skills
- Ability to work independently with minimal supervision
Nice to have
- AWS / Cloud technologies
- Large-scale data processing
- Data transformation and ETL
- Software development best practices
- Framework development and enhancement
- Automated testing and debugging
- Data engineering tools and technologies
Full description
We are unable to sponsor or take over sponsorship of an employment visa at this time.
Data Engineer
Job Overview
We are seeking a Data Engineer with strong hands-on coding experience in Python and PySpark, along with a solid understanding of Object-Oriented Programming. The ideal candidate will be responsible for designing, developing, testing, and implementing new features within an existing data engineering framework.
This role requires someone who is comfortable working with complex data transformations, translating business requirements into technical solutions, and developing standalone PySpark scripts based on defined business logic. The successful candidate will work closely with the team to deliver reliable, maintainable, and effective data solutions.
Responsibilities
- Design, develop, and implement new features within an existing framework using Python and PySpark.
- Develop efficient and effective PySpark scripts to perform data transformations based on defined business logic.
- Apply strong Object-Oriented Programming concepts to solve complex problems and develop robust, reusable solutions.
- Work closely with team members to understand requirements and develop solutions aligned with business objectives.
- Translate business requirements into technical solutions and data transformation processes.
- Test, debug, and troubleshoot code to ensure it produces accurate and reliable results.
- Identify and resolve complex software and data-related issues.
- Develop standalone scripts and applications to support data processing requirements.
- Follow coding best practices and contribute to the enhancement of the existing framework.
- Document programming tasks, processes, and procedures to support future troubleshooting and maintenance.
- Communicate effectively with team members regarding requirements, technical challenges, and solutions.
- Work independently with minimal supervision while contributing effectively to the overall team.
Qualifications
- Strong hands-on experience with Python.
- Strong hands-on experience with PySpark and data transformations.
- Solid understanding of Object-Oriented Programming concepts.
- Experience developing standalone scripts based on defined business logic.