Job summary
Job post source
This job is directly from Fidelity Investments
Job overview
The Cloud Data Engineer role at Fidelity Investments focuses on developing and managing data pipelines and engineering metrics to provide insights into developer productivity, impacting enterprise-wide data usage.
Responsibilities and impact
The role involves ingesting, aggregating, and moving data from various sources, collaborating with architects and developers to establish data pipelines and views, ensuring efficient data movement and compliance with operational and security policies.
Experience and skills
Candidates should have hands-on experience with various data types, data warehouse technologies like Snowflake, cloud infrastructure (AWS and Azure), programming languages (Python, Java, SQL, Groovy), DevOps tools, Agile environments, and strong communication skills.
Work environment and culture
Fidelity offers a hybrid work model blending onsite and offsite work, emphasizing both business strategy and culture, with onsite work required every other week.
Company information
Fidelity Investments is a financial services company governed by multiple securities and investment regulations, emphasizing compliance and security in its operations.
Team overview
The candidate will join the engineering metrics squad focused on delivering insights into speed, effectiveness, quality, and impact metrics through data pipeline development and data lineage documentation.
Job location and travel
The role follows a hybrid working model with onsite presence required every other week at a Fidelity office.
Unique job features
The position involves working on innovative engineering metrics and requires collaboration across multiple technical and business teams to ensure data quality and security compliance.
Company overview
Fidelity Investments is a multinational financial services corporation that provides investment management, retirement planning, portfolio guidance, brokerage, and benefits outsourcing services. Founded in 1946 by Edward C. Johnson II, the company has grown to become one of the largest asset managers in the world, with a diverse range of mutual funds and financial products. Fidelity generates revenue through management fees, brokerage commissions, and advisory services. The firm is known for its innovative technology solutions and commitment to customer service, making it a leader in the financial industry.
How to land this job
Tailor your resume to emphasize hands-on experience with diverse data types—structured, unstructured, and semi-structured—and highlight your proficiency in data warehouse technologies like Snowflake, as these are core to the Cloud Data Engineer role at Fidelity Investments.
Showcase your expertise with cloud platforms AWS and Azure, and your skills in Python, Java, SQL, and Groovy, while also underlining familiarity with DevOps tools such as GitHub, Jenkins, and SonarQube to align with the job's technical requirements.
Apply through multiple channels including Fidelity’s corporate careers site and LinkedIn to maximize your application’s visibility and ensure you reach the right hiring teams.
Connect with current members of Fidelity’s Engineering Metrics Squad or related cloud and data engineering teams on LinkedIn; start conversations by referencing recent Fidelity engineering initiatives or expressing interest in how they leverage cloud data pipelines for productivity insights.
Optimize your resume for ATS by incorporating keywords from the job description like 'cloud data engineering,' 'Snowflake,' 'AWS,' 'Azure,' 'DevOps,' and 'data pipelines,' ensuring your resume passes automated screenings effectively.
Use Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant Fidelity contacts on LinkedIn, allowing you to focus your energy on preparing for interviews and networking.
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