Senior Data Engineer

Position- Senior Data EngineerDuration-Full TimeLocation- Boston, MA

JDShort Description for Internal Candidates:The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation. We are looking for individuals who bring expertise in data onboarding and quality best practices and the drive to achieve excellence in team building, operations, tooling, and automation. This role is primarily focused on hands-on development and delivery, which requires a combination of both strong technical and influencing skills, as well as participation in architecture, design, analysis, and evangelizing activities.The Expertise and Skills You Bring:

Bachelor's degree (or higher) in either Computer Science, Management Information Systems, Business Information Systems, Mathematics or Finance related field.10+ years of data engineering experience, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.Demonstrable mastery of industry best practices in the data lifecycle, including data quality automation and tooling.Demonstrated domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORTA proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments. bility to recognize business risk and surface it to key decision-makers.Substantial Investment Management business domain expertise across some combination of research, portfolio management, trading and investment operations.The Value You Deliver

Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.Design and implement processes and tools for data onboarding and quality, helping to deliver an industry best-practice solution for managing the data lifecycle.Provide data stewardship to other team members and to Data Operations as they review datasets for completeness and quality.Produce stand-alone tools that can be used by other teams to automate data quality and Client faults.Key Skills:

Demonstrated data engineering experience, utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.Experience in building and designing solutions for data warehouse and experience in working with large data sets in Oracle and SnowflakeDemonstrable mastery of industry best practices in the data lifecycle, including data quality automation and tooling.A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments. bility to recognize business risk and surface it to key decision-makers.Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plusDemonstrated Experience in Python programming and familiarity with core data science libraries. Understanding different package managers and test frameworks.Experience in some of the following technologies continuous integration/delivery tools such as GIT, Cloudbees Jenkins, uDeploy and/or Pivotal Concourse.Knowledge in python web frameworks like Flask, Django is a plusFluency in formal language design concepts like type systems a plus.Experience with quant research processes, methodologies, and tools a plus.

Regards,Pallavi VermaSr. Technical Recruiter | Syntricate Technologies Inc.Direct

: 781-552-4333 | Fax: 781-649-0786Email

: pallavi@syntricatetechnologies.com | Web: www.syntricatetechnologies.com

We're hiring! connect with us on LinkedIn nd visit our Jobs Portal

Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer

This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .