Senior Data Engineer I

Responsibilities

• Implement and maintain data pipelines for ingestion, transformation, and delivery
• Ensure data quality through rigorous validation and monitoring processes
• Collaborate with senior engineers to design and build scalable data solutions
• Work with business analysts to translate business requirements into technical data implementations
• Optimize data models and queries for maximum performance and efficiency
• Follow engineering best practices, participate in code reviews, and contribute to team standards
• Implement data security controls and access policies
• Troubleshoot and resolve complex data pipeline issues

Requirements

• Proficient with cloud-based data platforms, specifically Snowflake and data lakehouse architecture
• Strong knowledge of the AWS ecosystem, including Lambda, Glue, and S3
• Understanding of event-based or streaming data concepts using Kafka
• Strong proficiency in Python and SQL
• Experience with DevOps practices, including CI/CD pipelines and Infrastructure as Code using Terraform
• Experience with RDBMS such as Oracle, Postgres, or MSSQL
• Experience using workflow orchestration tools like Airflow
• Proficiency with GitHub and standard engineering verification practices
• Strong analytical problem-solving skills and effective communication abilities

Preferred Qualifications

• Understanding of containerization concepts
• Exposure to API development using Python-based frameworks
• Basic familiarity with Asset Management data domains and investment management industry concepts

Benefits

• Comprehensive benefits package
• Support for wellbeing and professional development
• Flexible working approach to support work-life balance

About the Company

Fidelity is a global investment management organization committed to making things better for clients through continuous technological exploration and innovation. The ISS Data Engineering Chapter supports strategic programs that create advanced data platforms for portfolio management, risk management, research, and trading.