Hybrid Krakow: Senior Dataflow Engineer

N Consulting Limited; Kraków; Hybrid; PLN 147,600 - 157,747; Full time

Job summary

A technology services firm located in Krakow, Poland, is seeking an experienced Senior Dataflow Engineer. The role requires designing, building, and maintaining data pipelines and workflows. Candidates should have 4+ years of experience working with large datasets, proficiency in Python and Java, experience with Google Dataflow, and a strong understanding of ETL processes. This position is hybrid, offering both office and remote work, and requires collaboration with various teams to ensure optimal data flow and integration.

Qualifications

• 4+ years of experience as a Dataflow Engineer, Data Engineer, or similar role.
• Proficient in programming languages such as Python, Java.
• Hands-on experience with data pipeline orchestration tools like Google Dataflow.
• Experience with cloud-based data platforms like Google Cloud.
• Strong experience with ETL frameworks and tools.

Responsibilities

• Design and build data pipelines for collecting, transforming, and storing data.
• Integrate data from various sources including cloud platforms, APIs, and databases.
• Optimize performance of data flows by troubleshooting existing pipelines.
• Implement ETL processes, transforming raw data for analytics.
• Collaborate with cross-functional teams to address data needs.
• Build automated workflows to handle large data volumes.
• Set up monitoring and alerting systems for data pipelines.
• Document data flows and processing logic for maintainability.

Job description

A technology services firm located in Krakow, Poland, is seeking an experienced Senior Dataflow Engineer. The role requires designing, building, and maintaining data pipelines and workflows. Candidates should have 4+ years of experience working with large datasets, proficiency in Python and Java, experience with Google Dataflow, and a strong understanding of ETL processes. This position is hybrid, offering both office and remote work, and requires collaboration with various teams to ensure optimal data flow and integration.