Senior Analytics Engineer developing scalable data products for finance at Zopa. Evolving technical direction and mentoring engineers in high - impact modeling initiatives.
About the role
- Database Administrator & ETL Developer optimizing data infrastructure for eSimplicity to support government agencies. Responsible for database reliability, performance, and developing ETL pipelines in a hybrid work environment.
Responsibilities
- Administer, monitor, and optimize SQL databases (e.g., SQL Server, PostgreSQL, MySQL, Oracle).
- Handle database installation, configuration, upgrades, migration, and maintenance.
- Implement and maintain database backup, recovery, and failover strategies.
- Ensure database performance tuning, indexing strategy, and query optimization.
- Manage user accounts, roles, permissions, and data access security.
- Ensure database compliance with internal and external security standards.
- Troubleshoot database issues, performance bottlenecks, and service outages.
- Design, build, and maintain ETL pipelines using tools such as SSIS, Informatica, Talend, Airflow, or custom Python/SQL.
- Develop data models, data flows, integration mappings, and workflow schedules.
- Collaborate with analytics, engineering, and business teams to understand data requirements.
- Ensure high-quality data ingestion, cleansing, transformation, and validation processes.
- Support data warehousing initiatives and optimize data pipelines for performance and scalability.
- Monitor ETL jobs, resolve failures, and ensure timely data delivery.
Requirements
- All candidates must pass public trust clearance through the U.S. Federal Government.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience).
- 5+ years of experience in DBA / ETL development.
- Strong SQL expertise including query tuning and stored procedure development.
- Hands-on experience with at least one major relational database system.
- Experience designing and maintaining ETL pipelines in enterprise environments.
- Knowledge of data warehousing concepts (star schema, slowly changing dimensions, fact tables).
- Experience with automation using shell scripts, PowerShell, Python, or similar tools.
Benefits
- Highly competitive salary
- Full healthcare benefits
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