Data Engineer
Samprasoft
The Role
We are looking for someone with proven experience in data engineering, analysis, and implementation and with exposure to Analytics related to Investment Fund Accounting or Investment Portfolio analytics. This Data Engineer role will work along with other Attribution squad members to review business requirements related to integrating Fund Accounting data, research current implementation, enhance and implement changes as necessary to data processing and calculations.
- Aligns with data migration and implementation standards
- Reverse engineer & document existing programs processing inbound data, staging and calculations implemented to support Attribution calculations
- Research current implementation to identify data attributes supporting specific calculations processing accounting data
- Implement enhancements to current calculations to handle changes to inbound data structures and calculations
- Perform detailed data analysis to support changes to existing functions and/or processes
- Work with source systems to detail new data sets
- Work with tech leads and business leaders to acquire a validated understanding of the domain, current state of technology and the strategic direction guiding future efforts
- Participate in the definition of both functional and non-functional requirements of a system and define the BI delivery strategy, standards, and support tools
- Resolve internal requirements for data controls and exception reporting
- Perform sophisticated data analysis and present findings to support recommendations
- Participates in activities with partners, including test planning and execution
- Participates in work stream planning process using Agile methodology
The Expertise and Skills You Bring
- Bachelor's Degree preferred
- Minimum of 2 - 5 years’ experience as a Data Engineer/Developer
- 2+ years of experience in database analysis using Oracle PL/SQL or other DB tools
- Experience with Investment Fund Accounting or Investment Portfolio analytics related data
- Application/technology experience or similar related training, focusing in the area of data analysis and/or data processing.
- Collaborate with business partners on converting business requirements to conceptual data models.
- Experience in requirements gathering, data modeling, preparing data transformation rules and strong SQL skills.
- You are technically adept in learning new technologies and architectural methodologies and adapting our practices to support frequent changes in the technical environment.
- Love working with peers as part of an agile team and are open to role blending to learn new skills.
- A technical degree in a Computer Science or Data related subject
The Team
The Fidelity Fund and Investment Operations (FFIO) Performance Attribution technology team is responsible for the production of daily transaction-based attribution analytics at the holding's level for use by the application’s consumers who include: Senior Investment Staff, Portfolio Managers, Chief Investment Officers, Research groups, Distribution Channels, Board of Trustees & Shareholders. The highly sophisticated performance attribution system is continually improving in response to challenges posed by, among others, changes in investment management strategy, the introduction of new investment products, and changes to upstream or interfacing applications. Are you ready to explore this opportunity further?
COVID Work Policy
Safety is our top priority. Once we can be together in person with fewer safety measures, this role will follow our dynamic working approach. You’ll be spending some of your time onsite depending on the nature and needs of your role.
Dynamic Working – Post Pandemic
Our aim is to combine the best of working offsite with coming together in person. For most teams this means a consistent balance of working from home and office that supports the needs of your role, experience level, and working style.
Your success and growth is important to us, so you’ll want to enjoy the benefits of coming together in person – face to face learning and training, quality time with your manager and teammates, building your career network, making friends, and taking full advantage of cultural and social experiences Fidelity provides for you.
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