Cloud Data Engineer

PURPOSE:

Provides complete application lifecycle development, deployment, and operations support for large-scale batch and real-time data processing pipelines using cloud technologies. Collaborates with product owners, data scientists, business analysts and software engineers to design and build solutions to ingest, transform, store, and export data in a cloud environment while maintaining security, scalability, and personal data protection.

RESPONSIBILITIES:

• Implements and enhances complex data processing pipelines with a focus on collecting, parsing, cleaning, managing, and analyzing large data sets that produce valuable business insights and discoveries.
• Determines the required infrastructure, services, and software required to build advanced data ingestion & transformation pipelines and solutions in the cloud.
• Assists data scientists and data analysts with data preparation, exploration, and analysis activities.
• Applies problem solving experience and knowledge of advanced algorithms to build high-performance, parallel, and distributed solutions.
• Performs code and solution review activities and recommends enhancements that improve efficiency, performance, stability, and decreased support costs.
• Applies the latest DevOps and Agile methodologies to improve delivery time.
• Works with SCRUM teams in daily stand-up, providing progress updates on a frequent basis.
• Supports application, including incident and problem management.
• Performs debugging and triage of incident or problem and deployment of fix to restore services.
• Documents requirements and configurations and clarifies ambiguous specs.
• Performs other duties as assigned by management.

QUALIFICATIONS:

• BA/BS Degree in Business, Computer Science or Electrical Engineering preferred or the equivalent of 4 years professional IT related experience. MS degree (preferred).

REQUIRED SKILLS:

• 3+ years of enterprise software engineering experience with object oriented.
• design, coding, and testing patterns, as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructure solutions.
• 3+ years of software engineering and architecture experience within a cloud environment (Azure, AWS).
• 3+ years of enterprise data engineering experience within any "Big Data" environment (preferred).
• 3+ years of software development experience using Python.
• 2+ years of experience working in an Agile environment (Scrum, Lean or Kanban).
• 3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g. AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g. Oozie, Apache Airflow) technologies.
• 3+ years of experience in implementing distributed data processing pipelines using Apache Spark
• 3+ years of experience in designing relational/NoSQL databases and data warehouse solutions.
• 2+ years of experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
• 2+ years of Unix/Linux operating system knowledge (including shell programming).
• 1+ years of experience in automation/configuration management tools such as Terraform, Puppet or Chef.
• 1+ years of experience in container development and management using Docker.
• Languages: SQL, Python, Spark

PREFERRED SKILLS:

• AWS/Azure cloud provider training/certifications (preferred)

PHYSICAL REQUIREMENTS:

• Work is normally performed in an office, laboratory, manufacturing floor, or machine shop setting where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting up to 25 lbs.
• Must be able to understand and comply with all relevant safety practices.

FLSA STATUS/WORKING SCHEDULE:

• Location: 2 Research Drive, Greenville, SC 29607 United States
• Schedule: Day Shift, Mon-Fri
• Assignment Start: ASAP

DISCLAIMER:

This job description is a high-level overview of general expectations of this position. It is not intended to list every responsibility of the position, nor does it represent an employment contract of any kind.