-
ID
#49894014 -
Job type
Permanent -
Salary
TBD -
Source
Fidelity Investments -
Date
2023-05-03 -
Deadline
2023-07-02
Principal Data Engineer
North Carolina, Durham, 27701 Durham USAPermanent
Vacancy expired!
Job Description:
We have an outstanding technology opportunity in the Data Engineering Chapter to deliver modern data solutions to the Fidelity Corporate Technology Group (CTG). As Principal Data Engineer you will lead the design and development of data services in support of the Enterprise Data Lakes and Analytics Platform.In this role you set out the technical direction for the team. You will work closely with architects to craft secure, scalable, resilient cloud-based services. As the most senior technical member of your team, you will guide other specialists and help develop their technical skills.The Expertise and Skills You Bring- Bachelors or Masters in a technology related field (e.g. Computer Science, Engineering etc.) required.
- 8+ years of related experience in data engineering, analysis, data warehouses, data lakes. Specialist understanding and experience of methodologies like data warehousing, data visualization and data integration.
- Proven experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.
- Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers.
- Practical experience delivering and supporting Cloud strategies including migrating legacy products and implementing SaaS integrations.
- Proven experience in understanding multi-functional enterprise data, navigating between business analytic needs and data, and being able to collaborate with other members of technical teams to execute on product roadmaps to enable new insights with our data.
- Crafted and implemented operational data stores, as well as data lakes in production environments.
- Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines. Deploying within a cloud native infrastructure would be advantageous.
- Able to work collectively with a geographically diverse team.
- Consistent track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding standards.
- Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
- Ability to develop ELT/ETL pipelines to move data to and from Snowflake data store using combination of Python and Snowflake SnowSQL.
- Knowledge and expertise of data modeling techniques and standard methodologies (Relational, Dimensional), plus any prior experience with data modeling tools (eg. PowerDesigner).
- Experience with Data ingestion tool sets (e.g Apache NiFi, Kafka) is advantageous.
- Experience in working with AWS, MS Azure or other cloud providers. Experience with AWS services such as Lambda or S3, AWS Certification.
- Experience in Data Architecture (Database design, performance optimization).
- Excellent written and oral communication skills.
- Solid Focus on resiliency & reliability.
- Nice to have: Scripting/coding experience in any of the following: Python, Unix, Java.
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