Senior Data Engineer
Job Summary
To support the growth of data infrastructure, the full-time Senior Data Engineer will build scalable data pipelines, automate marketing campaigns, and collaborate with analytics and data science teams in a remote environment.
Key responsibilities
- Develop scalable data pipelines and build new integrations to manage increasing data volume and complexity
- Create a robust Data Lakehouse to enhance marketing solutions for financial institution clients
- Collaborate with AI, Analytics, and business teams to improve data models, ensuring data accessibility for decision-making
Required qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field, with 5+ years of relevant experience; or a Master's degree (preferred)
- 5+ years of experience in Data Engineering, ETL development, or Data Platform Engineering
- Strong experience with Python and PySpark for building production-grade data pipelines
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with Apache Airflow, Iceberg, Hive, S3, and Trino
Complete Job Description
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