Overview
Skills
Job Details
Position: Data Engineer
Location: Charlotte, NC (On-site)
Contract Type: Long Term
We are seeking a highly skilled and experienced Data Engineer with 8 12 years of hands-on experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong expertise in Apache Spark / PySpark, Autosys, and a solid understanding of data engineering best practices in large-scale enterprise environments.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using Spark/PySpark.
Automate workflows and job scheduling using Autosys.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
Optimize data processing for performance and scalability.
Ensure data quality, integrity, and governance across all pipelines.
Monitor and troubleshoot production data pipelines and workflows.
Participate in code reviews and contribute to best practices in data engineering.
Required Skills & Qualifications:
8 12 years of experience in data engineering or related roles.
Strong hands-on experience with Apache Spark and PySpark.
Proficiency in Autosys for job scheduling and workflow automation.
Solid programming skills in Python and SQL.
Experience with distributed data processing and big data technologies.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.
Strong problem-solving and communication skills.
Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
Preferred Qualifications:
Experience with data lake architectures and data warehousing.
Exposure to CI/CD pipelines and DevOps practices.
Knowledge of data security and compliance standards.