The Data Engineering team is responsible for expanding and optimizing the company’s data and pipeline architecture, ensuring smooth data flow and collection for cross-functional teams
Job Summary
The Data Engineering team is responsible for expanding and optimizing the company’s data and pipeline architecture, ensuring smooth data flow and collection for cross-functional teams.
As a Senior Data Engineer, you will directly contribute to the company’s data infrastructure and analytics capabilities by creating and maintaining optimal data pipeline architecture and building infrastructure for data extraction and transformation.
Our benefits include Health & Wellness, Flexible Downtime, Continuous Learning, Invest in Your Future, and Family Friendly Perks.
Matching Summary
The Data Engineering team is responsible for expanding and optimizing the company’s data and pipeline architecture, ensuring smooth data flow and collection for cross-functional teams.
Skills & Requirements
Must-have
Python
cloud data platforms
AWS or other cloud environments
distributed data processing frameworks
ETL/ELT infrastructure
SQL
version control systems
Nice-to-have
collaboration with cross-functional stakeholders
Agile environments
passion for building data systems
innovation and redesigning architecture
Key Requirements
Minimum 4 years of experience in data engineering
Experience with workflow orchestration/scheduling platforms
Experience maintaining/developing software in production
Experience with containerization technologies
Experience with infrastructure as code tools
Experience with CI/CD platforms
Experience with modern Python API frameworks
Knowledge of system design concepts
Understanding of object-oriented programming principles
Understanding of big data/distributed systems technologies