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As a senior Data Engineer at WorkMotion, you will be at the heart of a modern, scalable, and cloud-native data platform. You'll help drive the development and maintenance of our end-to-end data infrastructure, supporting everything from ingestion to reporting. If you thrive in a fast-paced environment, enjoy building robust data pipelines, and want to work with a highly motivated international team, this is the role for you.

What You’ll Do

Design, build, and maintain scalable ETL pipelines using Apache Airflow and AWS Glue (Spark)

Work with a range of data sources including Salesforce, NetSuite, PostgreSQL, and MongoDB

Develop and optimize PySpark jobs for large-scale data transformation and analytics

Manage data lake infrastructure using Delta Lake on S3 with Athena as the query layer

Ensure data quality, performance, and reliability through monitoring, testing, and documentation

Collaborate with analytics, product, and engineering teams to define data requirements

Contribute to CI/CD workflows with GitHub and deployment automation

Participate in architectural discussions and advocate for best practices in data engineering