Staff Software Engineer

Vivian; Deutschland; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology company in Germany is seeking a Staff Software Engineer to manage client data ingestion pipelines. The ideal candidate will have strong skills in Python and SQL, with experience in debugging data issues. Responsibilities include ensuring data quality and collaborating with cross-functional teams to improve processes. This position offers the opportunity to work on complex data challenges within a supportive team environment.

Qualifikationen

• Hands-on experience managing complex data ingestion pipelines.
• Track record of developing long-term solutions for platform stability.
• Demonstrated experience in data transformations and troubleshooting.

Aufgaben

• Oversee the ingestion of client data feeds for accuracy and quality.
• Debug and resolve issues across data feeds and code.
• Develop solutions to manage incoming data complexities.

Kenntnisse

Expert-level proficiency in Python

Expert-level proficiency in SQL

Experience in data processing

Ability to debug complex data issues

Knowledge of data normalization

Jobbeschreibung

We are looking for a driven Staff Software Engineer with hands-on experience managing complex data ingestion pipelines and working on operational code for data systems. You should have expert-level proficiency in Python and SQL, with demonstrated experience in data processing, transformations, and troubleshooting. You should be comfortable processing, cleaning, and normalizing data from diverse, messy sources and have a track record of developing long-term solutions for platform stability.

What you'll do

• Oversee the ingestion of hundreds of client data feeds to ensure accuracy, completeness, and quality.
• Debug and resolve complex, “messy” issues across both data feeds and code, maintaining stability and consistency in data ingestion processes.
• Develop and refine solutions to handle data complexities, allowing for efficient management and processing of incoming feeds.
• Collaborate with product, data engineering, and operations teams to identify bottlenecks in the current process and propose and implement improvements.
• Build and maintain robust documentation on ingestion workflows and debugging procedures.
• Collaborate with team members, fostering a culture of knowledge sharing and continuous improvement.