Data Engineer ( Python, SQL and AWS)

Title: Data Engineer ( Python, SQL and AWS)

Location: Durham, NC (Hybrid)

Duration: 12+ months

Visa: USC, GC

What are the top three MUST have soft skills and technical skills (experience candidates must have coming in the door)?

1.) Python (need to know Python language to extract critical elements and re-build in new ecosystem)

2.) SQL

3.) AWS (brand new solutions built on AWS, breaking down on-prem databases/pipelines into the AWS ecosystem)

4.) Data Warehouse experience

Must be a solid communicator

Must have LinkedIn account

The Role

If you are an experienced Software engineer with a passion for data and databases, who enjoys data analysis, data modelling and creating ETL data flows, and wants to be a part of 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 Fidelity Wealth may be right for you! You will be part of a team that is building a Snowflake based enterprise-wide Data Lake on AWS.

The Expertise and Skills You Bring

Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.

Extensive experience in relational databases like Oracle or Snowflake

Development experience using Python

Experience in Data warehousing, data modelling and creation of data marts.

Experience in developing data applications in Cloud (AWS/Azure/Google Cloud)

Experience with ETL technologies (Informatica/Snaplogic etc)

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

The Team

Customer Data Technology in PI builds the platforms to collect and primary customer data needed to deliver the best customer experience. You will be part of a team that is building a Snowflake based enterprise-wide Data Lake on AWS.