Senior Data Engineer (Informatica)

If you are an experienced software engineer with a passion for data and databases, who enjoys data analysis, Datamodelling and creating ETL data flows, and wants to on a collaborative team environment where you will have wealth of opportunities to innovate and have intellectual curiosity to learn, a career in Customer Data Technologies in PI may be right for you!

At Fidelity, we love to use data to personalize incredible customer experiences and develop solutions that help our customers live the lives they want. As part of our digital transformation, we have significant investments in innovative data capabilities to support our customer obsessed culture.

The Expertise You Have

• Bachelor's or Master's Degree in a technology related field (eg Engineering, Computer Science, etc.) required.
• 5-10 years of experience with ETL technologies (Informatica or similar)
• Proven experience with Datamodelling and creation of data marts
• Data modeling with either Dimensional or Data Vault models
• Data warehousing experience
• Extensive experience in relational databases especially Oracle or Snowflake
• Experience with Business Intelligence and Dashboards is a plus
• Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) is a plus
• Experience in Agile methodologies (Kanban and SCRUM) is a plus
• Any experience in developing data applications in Cloud (AWS, Azure, Google Cloud) is a plus

The Skills you Bring

• Experience building scalable and robust ETL data flows using a range of technologies
• Proven data analysis skills
• Strong data modeling skills doing either Dimensional or Data Vault models
• Proven ability to deal with ambiguity and work in fast paced environment
• Excellent communication skills, both through written and verbal channels
• Excellent collaboration skills to work with multiple teams in the organization

The Value you Deliver

• Ability to think out of box and design end-to-end solutions
• Passion and intellectually curiosity to learn new technologies and business areas
• Exploring new technology trends and leveraging them to simplify our data ecosystem
• Collaborating with internal and external teams to deliver technology solutions for the business needs
• Working on teams to improve development agility and productivity
• Delivering system automation by setting up continuous integration/continuous delivery pipelines