Support Engineer - Python, Data & Integrations

SuperStaff

19h•Hybrid

About The Position

We are seeking a detail-oriented and proactive Client Support Engineer to join our dynamic team. Reporting directly to our Senior Engineer, you will be instrumental in maintaining and enhancing the functionality of our software products. This role involves responding to customer requests and bug reports, modifying ETL pipelines and data processing scripts, adjusting configurations for client instances, fine-tuning customer integrations through an Integration Platform as a Service (iPaaS), and making REST API requests to address issues and implement solutions.

Requirements

4+ years of related experience
Working knowledge and experience of data handling in Python (e.g., Pandas, PySpark, Polars).
Familiarity with configuration formats such as JSON and YAML.
Proven experience in troubleshooting and problem-solving within a software environment.
Ability to modify, maintain, and optimize scripts.
Proficiency in working with REST APIs.

Nice To Haves

Experience with document databases (e.g., MongoDB, Elasticsearch, CouchDB).
Basic knowledge of SQL and relational databases.
Experience with feature flag management software.
Familiarity with Integration Platform as a Service (iPaaS) tools (e.g., Workato, Zapier, MuleSoft).

Responsibilities

Efficiently respond to and resolve support tickets related to application functionality and performance.
Modify and maintain ETL pipelines and data processing scripts to ensure optimal operation.
Adjust configurations within feature flag management software to tailor client experiences.
Execute REST API requests to troubleshoot, resolve issues, and implement customer solutions.
Collaborate closely with the Senior Engineer and cross-functional teams to deliver high-quality support and effective problem resolution.
Document solutions, and best practices, and contribute to the enhancement of the knowledge base.