Data Engineer
Summary
Builds and maintains data pipelines, warehouses, and cloud-based data infrastructure to enable analytics and reporting for clients in professional services or finance.
Qualifications and Experience:
Please note that if you have not received a response within 14 days of submitting your application that your application was unsuccessful.
- 5+ years of experience in data engineering or SQL-based development.
- Degree in Computer Science, Information Systems, or related field.
- Proficiency in SQL, NoSQL, and cloud platforms (AWS, Azure).
- Experience with data pipeline frameworks (e.g., Apache Kafka, Airflow).
- Familiarity with Azure Data Factory, Synapse, or similar.
- Optional: Python scripting for ETL or data manipulation.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively with data analysts and business teams.
- Experience in professional services or finance environments preferred.
- Exposure to Aderant or iManage advantageous.
Please note that if you have not received a response within 14 days of submitting your application that your application was unsuccessful.