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Description:
The Middle/Senior Data Engineer position at Spendesk involves contributing to new technologies investigations and complex solutions design, focusing on building out ETL processes.
The role includes working with a modern data stack, implementing data governance processes, and communicating professionally with the customer's team.
Responsibilities also include delivering major solution features, participating in requirements gathering, proposing optimal architecture strategies, and leading data architecture implementation.
The Data Engineer will develop core modules and functions, design scalable solutions, perform code reviews, and write unit and integration tests.
Additionally, the role involves scaling the distributed system and infrastructure, as well as building a data platform using AWS cloud provider.
Requirements:
3+ years of experience with Python for data pipelines and related tools
Familiarity with distributed data processing using Spark for data pipeline optimization
Experience with Snowflake and building data transformations in data build tools
Strong understanding of data modeling and data warehousing best practices
Proficiency with Looker for data visualization
Knowledge of how data engineers, data scientists, analytics engineers, and analysts work
Good written and spoken English communication skills
Familiarity with software engineering best practices such as testing, PRs, Git, code reviews, and releasing
WOULD BE A PLUS
Data certifications in Data Engineering or Data Analytics
Experience with Databricks, Airflow, DAGs, and orchestration tools
Experience with developing Snowflake-driven data warehouses
Experience with event-driven data pipelines
Benefits:
Opportunity to work in a flexible and dynamic environment
Chance to grow personally and professionally by going beyond your comfort zone
Working with a fast-growing fintech company with over 4,000 customers
International team with opportunities for remote work
Competitive salary and benefits package
Opportunity to work on innovative projects in the financial services sector