As a Senior Data Engineer you will work with highly effective squad, developing quality and scalable data solutions within Fidelity's Asset Management Technology (AMT) business. You value how we work, are collaborative, and continuously seek to improve our engineering efficiency!
The Expertise and Skills You Bring
Proven experience in developing quality data engineering solutions
Software development experience in the Financial Industry
Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning
Solid understanding of ETL tools like Informatica and Data Warehousing like Snowflake.
You enjoy learning new technologies, analyzing data, identifying gaps, issues, patterns, and building solutions
You can independently analyze technical challenges, identify, assess impact, and identify innovative solutions
Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
Demonstrate understanding of data design concepts - Transactional, Data Mart, Data Warehouse etc.
Beginner proficiency of in Java, Python, REST API, and AWS, is a plus.
You are passionate about delivering high quality software using DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Git, Docker) practices!
Experience developing software using Agile methodologies (Kanban and SCRUM) is a plus
Strong analytical and problem solving skills
Excellent written and oral communication skills
Nice to have:
Beginner proficiency in Java, Python, REST API, and AWS, is a plus.
You are passionate about delivering high quality software using DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Git, Docker) practices!
Experience developing software using Agile methodologies (Kanban and SCRUM) is a plus