Data Engineer #2

4 semanas atrás

Buenos Aires Espírito Santo Brazil Capgemini Tempo inteiro

Capgemini is seeking a highly motivated and detail-oriented Data Engineer for Insurance Carrier.

A data engineer role in the Specialty Data team should be able to analyze data from multiple source systems and design/model Data Marts based on business requirements. Therefore, strong data analytics and technical skills are a must. He or She should be able to create data models, STTMs, and other technical documents. The Engineer should have strong communication skills and the ability to understand design requirements and existing business processes to lead in the design, development, and implementation of data products in partnership with business partners and data scientists.

Knowledge Requirements:

  • Intermediate expertise in Data Vault 2.0 Modeling to support and use the Specialty data vault.
  • Advanced expertise in SQL, with the ability to write complex SQL statements.
  • Intermediate expertise in DBT, Python, and GitHub development; should be able to use DBT as an ELT tool to load the data mart tables.
  • Advanced expertise in Snowflake database.
  • Some knowledge of Mainframe, Mainframe SAS, and Distributed DB2.
  • Some knowledge of the Fivetran tool, used as an orchestrating tool for DBT code.
  • Hands-on experience with multiple cloud platforms including AWS and Azure is preferred.

Informatica Development Skills Is a Plus But Not Required.

Requirements:

  • Total Work Experience: Minimum Required: 4-6 years / Preferred: 7-9 years
  • Insurance Background Experience: Required
  • English Proficiency: Minimum Required: Fluent / Preferred: Fluent
  • Required Education: Minimum Required: Bachelor
  • Required Branch(es) of study: Software engineering, Data Science / Data modeling, Computer programming

Data Analytics Core Tools: Understands how to effectively use core tools for Data Analytics including Excel, PowerPoint, Power BI, Python, and SQL.

Data Architecture: Sets the blueprint for data and the way it flows through data storage systems and subsequent downstream applications.

Data Governance and Management: Manages the availability, consistency, usability, integrity, and security of the data employed in an enterprise.

Other Critical Skills:

  • Data Vault modeling - Entry Level
  • Dimensional Data modeling - Intermediate
  • Business Analytics - Intermediate
  • Data Analytics - Intermediate
  • Data profiling - Intermediate
  • Strong analytical skills and data modeling

Software / Tool Skills:

  • SQL - Intermediate (4-6 Years)
  • DBT - Entry Level (1-3 Years)
  • Python - Intermediate (4-6 Years)
  • GitHub - Entry Level (1-3 Years)
  • Snowflake - Entry Level (1-3 Years)
  • Mainframe - Entry Level (1-3 Years)
  • Fivetran - Entry Level (1-3 Years)
  • AWS - Entry Level (1-3 Years)
  • Informatica - Entry Level (1-3 Years)

Benefits: This position comes with a competitive compensation and benefits package:

  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Home Office model
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development

About Capgemini: Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

IT Services and IT Consulting

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