
Senior Full Stack Data Engineer
Are you a seasoned data engineer with a passion for building complex, end-to-end data solutions? Do you thrive in a fast-paced, collaborative environment where your technical expertise and leadership skills are valued? If so, we have an exciting opportunity for you to join our team at Fidelity Investments as a Senior Full Stack Data Engineer. In this role, you will have the opportunity to work with cutting-edge technologies and make a significant impact on our data platform. We are looking for a highly skilled and motivated individual with a strong background in data engineering and a proven track record of delivering high-quality solutions. If this sounds like you, we would love to hear from you!
- Design and develop complex, end-to-end data solutions for the organization.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Lead and mentor junior data engineers to ensure high-quality and timely delivery of solutions.
- Stay up-to-date with industry trends and emerging technologies in data engineering and apply them to enhance our data platform.
- Implement data quality and governance processes to ensure accuracy and completeness of data.
- Identify and troubleshoot data-related issues and provide timely resolutions.
- Work closely with data analysts and data scientists to understand their data needs and provide data solutions to support their initiatives.
- Develop and maintain data pipelines to extract, transform, and load data from various sources into our data platform.
- Collaborate with DevOps teams to ensure smooth deployment and maintenance of data solutions.
- Communicate effectively with stakeholders to provide updates on project progress and seek feedback.
- Participate in code reviews and ensure adherence to coding standards and best practices.
- Document technical solutions and processes for easy understanding and future reference.
- Proactively identify opportunities for process improvement and optimization within the data engineering team.
- Act as a subject matter expert on data engineering and provide guidance and support to other team members.
- Continuously monitor and optimize the performance of data solutions to ensure efficient and reliable data processing.
Bachelor's Or Master's Degree In Computer Science, Engineering, Or Related Field.
Minimum Of 5 Years Of Experience In Software Engineering, Data Engineering, Or Related Roles.
Strong Knowledge Of Full Stack Development, Including Front-End And Back-End Technologies Such As Javascript, Python, Sql, And Nosql Databases.
Experience With Data Warehousing, Etl Processes, And Data Modeling.
Proven Track Record Of Designing And Implementing Large Scale Data Solutions, Including Data Pipelines, Data Lakes, And Data Analytics Platforms.
Data Modeling
Agile Methodology
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
Python Scripting
Data governance
ETL Development
Big Data Analytics
SQL querying
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Full Stack Data Engineer in Boston, MA, USA is $130,000 to $150,000 per year. This can vary depending on factors such as experience, skills, and the specific company or industry the engineer is working in. Senior engineers typically have several years of experience in the field and may have additional responsibilities or leadership roles within their organization.
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Fidelity Investments Inc., commonly referred to as Fidelity, earlier as Fidelity Management & Research or FMR, is an American multinational financial services corporation based in Boston, Massachusetts.

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