Syntricate Technologies

Senior Data Engineer

Syntricate Technologies • $120K — $150K *
Boston, MA 02115In-Person
Finance & Insurance
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree (or higher) in 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.
  • Mastery of industry best practices in the data lifecycle, especially data quality automation and tooling.
  • Domain experience with financial datasets such as FactSet, Bloomberg, and S&P Global.
  • Proven experience with complex data environments and the necessary analytics infrastructure.

Responsibilities

  • Deliver datasets from onboarding through mapping and automated data quality for research teams.
  • Design and implement data onboarding and quality processes and tools.
  • Provide data stewardship and support Data Operations in reviewing datasets.
  • Produce standalone tools for automating data quality and client faults.

Benefits

  • Opportunity to work in a world-class data operation.
  • Engage in hands-on development with the potential to influence best practices.
  • Collaboration with experienced professionals in the investment management domain.
  • Exposure to industry-leading financial datasets and technology tools.
  • Professional development opportunities in a team-oriented environment.
Full Job Description
Position- Senior Data Engineer
Duration-Full Time
Location- Boston, MA

JD
Short 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 PORT
  • 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.
  • 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 Snowflake
  • Demonstrable 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 plus
  • Demonstrated 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 plus
  • Fluency in formal language design concepts like type systems a plus.
  • Experience with quant research processes, methodologies, and tools a plus.


Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : 781-552-4333 | Fax: 781-649-0786
Email : [email protected] | Web: www.syntricatetechnologies.com

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Joining Syntricate Technologies presents an unparalleled opportunity to advance a career in technology with a company at the forefront of digital innovation. Syntricate Technologies is renowned for its commitment to leadership, diversity, and leveraging technology to solve complex problems. This is where professionals come to not just seek job opportunities but to forge lasting careers in an environment that values growth and leadership.

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Learn more about Syntricate Technologies
Size
51 employees
Industry
Information Technology
* Ladders Estimates

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