Bachelor’s degree required and 8-10 years of related experience in Data Engineering.
Solid experience in writing complex SQL queries on Snowflake (AWS) or Oracle and performance optimization for large data volumes.
Proficiency working with Python specifically as it relates to data processing.
Proven technical leadership in definition/support of standards and best practices
Superior Data Modeling skills and experience performing deep data analysis on multiple database platforms
Deep understanding of data warehousing techniques and methodologies.
Exposure and/or understanding Fidelity’s enterprise data lake strategy.
Experience in Linux commands and basic shell scripting.
Experience in working with devops tools for code migrations.
Ability to develop ELT/ETL pipelines to move data to and from Snowflake data store using combination of Python and Snowflake SnowSQL.
Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding best practices.
Excellent communicator to both technical and non-technical data players to ensure common understanding of design to streamline and optimize data enablement.
Prior experience working in Agile software development environments, with proven ability to convert user stories into delivery work that provides incremental, iterative delivery of business value.
Financial services experience preferred.
The Skills You Bring
You are self-driven, curious, and highly motivated.
You are a quick learner and passion for data engineering.
You should have an excellent attention to detail, analytical and consulting mindset- in asking engaging questions to help tease out requirements details and technical implementation options often from more senior team members.
Your ability to solve complex business problems and work independently to bring tasks/stories to completion.
Ability to understand and present sophisticated concepts effectively to a variety of audiences, both technical and non-technical. You are known for making the complicated, simple.
You are a collaborative and constructive teammate within globally distributed team.
Intellectually curious, you take the initiative to learn new skills and share that knowledge in your squad and chapter contexts, and seek learning, coaching, mentorship opportunities to cultivate professional growth and resilience of yourself and the team.
Adaptable, flexible and thrives in a changing, dynamic environment, managing multiple tasks at a given time.