Remote opportunity at
OneFormaData Engineer
Centific seeks a Data Engineer for a full-time, remote position through OneForma. Centific is an organization that prioritizes work-life balance, skill development, and employee engagement through…
Career Tools
About This Role
Centific seeks a Data Engineer for a full-time, remote position through OneForma. Centific is an organization that prioritizes work-life balance, skill development, and employee engagement through various activities and events. In this role, the professional will focus on building, testing, and scaling data pipelines and applications. This position requires working closely with other data engineers, analysts, and business teams to design effective data solutions and guarantee smooth data movement across…
Job Description
Centific seeks a Data Engineer for a full-time, remote position through OneForma. Centific is an organization that prioritizes work-life balance, skill development, and employee engagement through various activities and events. In this role, the professional will focus on building, testing, and scaling data pipelines and applications.
This position requires working closely with other data engineers, analysts, and business teams to design effective data solutions and guarantee smooth data movement across various systems. The ideal candidate will handle performance troubleshooting, data quality assurance, and security maintenance. Centific operates as an equal opportunity employer dedicated to fostering an inclusive and diverse workplace free from discrimination or harassment.
Responsibilities
- Build and optimize PySpark-based ETL pipelines to process large volumes of data
- Create, test, and maintain dependable Python applications
- Partner with developers, analysts, and data engineers to design data solutions
- Utilize Azure Data Factory, Azure Data Lake, and Azure Databricks to construct scalable solutions
- Apply metadata extraction, policy enforcement, and data classification using Purview
- Coordinate with business units and data engineers to maintain consistent data flow
- Identify and resolve performance issues within Spark jobs to boost pipeline efficiency
- Maintain data quality, compliance, and security standards using established best practices
Requirements
- Minimum of three years of professional experience utilizing Python and PySpark for big data processing
- Demonstrated background working as a Python Developer or in a comparable capacity
- Extensive experience with Azure Data Services including Data Lake and Data Factory
- Strong problem-solving capabilities and ability to function within an agile team
- Effective communication skills and the capacity to collaborate well with others
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the job posting indicates that the role is remote.
What is the employment type?
The role is a full-time position.
What experience is required for this Data Engineer role?
Candidates must have at least three years of experience with Python and PySpark for big data processing, proven experience as a Python Developer or similar, and strong experience with Azure Data Services like Data Lake and Data Factory.
What salary is offered for this position?
The salary is not specified in the job posting.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.