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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 ETL processes.
The role includes working with a modern data stack, implementing data governance processes, and communicating 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, design scalable solutions, perform code reviews, and write tests.
Scaling the distributed system and infrastructure to the next level and building a data platform using AWS cloud provider are key aspects of the role.
Requirements:
3+ years of experience with Python for data pipelines and related tools
Familiarity with distributed data processing using Spark
Experience with Snowflake and building data transformations in data build tools
Proficiency in data modeling and data warehousing best practices
Familiarity with Looker and strong communication skills in English
Knowledge of software engineering best practices like testing, PRs, Git, code reviews, and design
WOULD BE A PLUS
Data certifications in Data Engineering or Data Analytics
Experience with Databricks, Airflow, DAGs, and orchestration tools
Experience in developing Snowflake-driven data warehouses and event-driven data pipelines
Benefits:
The position offers a flexible and dynamic environment with opportunities for personal and professional growth.
The role provides a chance to work on innovative solutions and be part of a fast-growing fintech company.
Employees have the option to work remotely and collaborate with an international team across different locations.
The company has raised significant funding and offers a competitive salary package.
Joining Spendesk provides exposure to cutting-edge technologies and the chance to work on challenging projects in the financial services sector.