Sr. Data Engineer

Sr. Data Engineer

Invesco Asset Management (India) Private Limited
Hyderabad / Secunderabad India
7-10 years
Not Specified

Job Description

Job Purpose (Job Summary):
The Sr Data Engineer is an important role in the Invesco's Insights & Analytics organization working across Invesco's retail and institutional businesses in the Americas. Reporting to the Sr Director of Decision Sciences, the role will help optimize the roadmap for client data and delivery of client intelligence. The end goal is to increase net sales of Invesco products through targeted sales and marketing activities based on data driven understanding of our clients. Enabling the 'use' of transaction data and analytics as well as defining the requirements for the data roadmap (in partnership with Transaction Data Product owner) are key deliverables for the role.
The person will:
  • Help build business tools that enable aggregating, manipulating, and disseminating of broad sets of data, ensuring fidelity with key data sources and integration with other technical teams
  • Work closely with colleagues in North America Retail Distribution to ensure that insights and tools are leveraged to improve sales and marketing ROI
  • Leverage learnings from current projects to define requirements for future data roadmap
  • Demonstrate strong business acumen (e.g., comfortable dealing with ambiguity, demonstrates strong business judgment, outcome-oriented with demonstrated drive for results), and communication (demonstrated ability to synthe insights, strong written/oral communications)

The Department: Insight and Analytics
Insight and Analytics is responsible for increasing data driven decision making at Invesco. The group works mostly with the Americas Distribution and Marketing teams to help increase net sales through a better understanding of our clients (financial advisors). It works like a small startup within the organization, with a clear focus on improving effectiveness and efficiency through end-to-end management of data, analytics, visualization and in-field implementation. While the team is not new, there is a distinct focus on restructuring the talent through training and recruiting as well as redefining the vision and engagement model with the rest of the organization. In short, it's an exciting place to be at for self-starters who want to set and own their paths forward.
Key Responsibilities / Duties:
  • Partner with the Tech team to optimize the cloud based aws / redshift environment in order to support an always on data sciences capability
  • Specify business and technical requirements for data ingestion, verification, scheduling, etc. across first party, second party and third party data
  • Build out the data engineering and feature engineering capabilities required to support customer centric analytics and visualization
  • Establish strong processes for landing data, ratifying data from Invesco on premise and EDL sources, and for promoting results back to production EDL
  • Collaborate with business subject matter experts and IT teams to make strategic recommendations on data collection, integration and retention
  • Develop usage and access control policies/systems and partner with other stakeholders in continuous improvement processes impacting data quality
  • Develop training programs for adoption of foundational data sciences capabilities
  • Maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics
  • Provide ongoing monitoring of performance of data systems and models
  • Exhibit strong problem-solving skills and the ability to work well in a team environment, prioritize work, analyze interdependencies and deliver against deadlines

Work Experience / Knowledge:
  • 7+ years of hands-on experience providing optimized, usable data to multiple clients - especially sales, marketing and predictive modeling groups in a B to B or customer centric environment (extensive experience with financial transaction data is a plus)
  • 4+ years of data project management experience
  • Expertise in developing data models
  • Experience in automation / manual work reduction for repetitive data tasks
  • Strong technical competence, with ability to teach / train associates:
    • Excellent programming skills with ability to optimize and modularize the code
    • Advanced knowledge of data management tools and environments
    • Proficiency in developing data models to feed visualization tools
    • Practical understanding of fundamental statistical concepts and predictive modeling techniques

Skills / Competencies/attributes:
  • Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Ability to independently own database development and decisions, balancing demands and deadlines
  • Superior communication and influencing skills
  • Ability to work in agile, test & learn, and iterative environment
  • Stong organizational skills and detail orientation

Formal Education:
  • Undergraduate or advanced degree in a quantitative discipline (i.e. Statistics, Mathematics, Econometrics, Operations Research, Computer Science) with focus on data sciences techniques
  • Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear, Algebra, Calculus)

Disclaimer:The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Incumbents may be required to perform other duties as deemed appropriate by the supervisor from time to time.

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