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MSIGHTS

Cloud-based marketing data platform for enterprise

Database Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMonterrey, Nuevo Leon, MexicoNo salary listedIn-person

About the Job

Requirements

  • At least 2 years of experience working with cloud computing in AWS services.
  • Working knowledge of one or more of the following database services: Redshift, Athena, in-memory databases, SQL Server, or PostgreSQL.
  • Experience with data models, data normalization, automatic data sanitization, data flows, data streams, and data maps.
  • A Bachelor's Degree or equivalent.
  • Fluency in English, with strong written and verbal communication skills and the ability to work well with an internal team.
  • Must be detail-oriented, committed to quality, client-focused, flexible, and entrepreneurial in a fast-paced international work environment.

Responsibilities

  • Manage the ETL process across different marketing channels, including data validation and preparation for reporting or system-to-system interconnection.
  • Understand data models, normalize data, and prepare information as views and report sets.
  • Implement solutions in different database engines that incorporate data flows and/or data streams.
  • Implement client business rules to use and group data.
  • Monitor and improve query execution and performance for all clients.
  • Use Agile and Scrum methodologies to deliver a plan and follow it through successful application releases.
  • Document work, generate ideas, and follow coding standards and coding patterns.

Desired Qualifications

  • Experience with non-SQL databases.

About the Company

MSIGHTS

Cloud-based marketing data platform for enterprise

MSIGHTS provides a cloud-based marketing data platform that unifies, manages, and operationalizes data for enterprise marketers, enabling smarter decision-making. How its product works: The platform automates data collection, standardization, and delivery across channels, partners, and platforms via a no-code interface, with governance and customizable workflows that produce decision-ready data for marketing, analytics, and operations teams. Differentiation: It is an early specialist in marketing data integration and transformation, focused on removing data fragmentation rather than just aggregating sources, and offering governance and flexible workflows to support reliable data use. Goal: To help marketing teams work more efficiently, improve media performance, and achieve higher ROI by providing trusted, actionable data.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Charlotte, NC
Founded
2004

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