About the Role
The ideal candidate will develop scalable data pipelines, ensure data integrity, and support data-driven decision-making across departments using modern engineering practices.
Responsibilities
- Design and implement robust data pipelines for structured and unstructured data sources.
- Develop and maintain ETL workflows to ensure accurate and timely data delivery.
- Optimize data storage solutions for performance and scalability.
- Collaborate with analysts and stakeholders to understand data requirements.
- Ensure data quality through validation, monitoring, and error handling.
- Support data warehouse architecture and schema design.
- Integrate data from multiple internal and external systems.
- Use SQL and programming languages to manipulate and analyze large datasets.
- Implement data security and access controls in compliance with policies.
- Troubleshoot and resolve data-related issues across systems.
- Document data models, workflows, and engineering processes.
- Stay current with emerging data technologies and best practices.
- Contribute to version control and code review processes.
- Work with cloud-based platforms for data hosting and processing.
- Automate routine data operations to improve efficiency.
- Support business intelligence tools with reliable data feeds.
- Participate in agile project planning and sprint execution.
- Collaborate with cross-functional teams on data initiatives.
- Evaluate and recommend improvements to existing data infrastructure.
- Ensure compliance with data governance and regulatory standards.
- Monitor system performance and implement tuning as needed.
- Assist in onboarding and training for data tools and platforms.
- Maintain metadata and data lineage documentation.
- Conduct root cause analysis for data discrepancies.
- Support testing and deployment of data solutions in multiple environments.
Compensation
Competitive salary and benefits package offered based on experience and qualifications.
Work Arrangement
Hybrid work model with flexibility for remote and in-office collaboration.
Team
Collaborative environment within a technology-focused legal services organization.
About the Team
- This role is part of a forward-thinking technology group dedicated to enhancing data capabilities across the organization.
- Team members work on innovative projects that bridge legal operations with data infrastructure.
Technology Stack
- Current tools include AWS for cloud infrastructure, Snowflake for data warehousing, Apache Airflow for orchestration, and Python for scripting.
- The team leverages modern DevOps practices and emphasizes automation and monitoring.
Sponsorship available for qualified candidates requiring work authorization.
