Senior Data Engineer

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

Join a skilled Fidelity's Asset Management Technology team to develop advanced data engineering solutions that power critical investment decisions. This role involves developing scalable data processing solutions, designing robust data models and ETL pipelines, and applying modern DevOps and Agile practices. Ideal candidate is deeply enthusiastic about innovation in financial technology, with extensive proficiency in Oracle PL/SQL, AutoSys, data warehousing.

The Expertise and Skills You Bring

You bring a wealth of experience and skills that are critical to our success. These include:

• Years of demonstrated expertise in crafting high-quality data engineering solutions
• Strong software development background in the Financial Industry
• Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning
• Proven understanding of ETL tools like Informatica and Data Warehousing platforms such as Snowflake
• A passionfor learning new technologies and analyzing data to identify gaps and build solutions
• The ability to independently address technical challenges and develop innovative solutions
• Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
• In-depth knowledge of data composition concepts including Transactional, Data Mart, and Data Warehouse structures
• Basic proficiency in Java, Python, REST API, and AWS is advantageous
• A dedication to delivering high-quality software using DevOps, Continuous Integration, and Continuous Delivery practices (Maven, Jenkins, Git, Docker)
• Experience with Agile methodologies (Kanban and SCRUM) is a plus
• Strong analytical and problem-solving skills
• Excellent written and oral communication skills