Sr. Data Engineer

Posted 19 Hours Ago
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Bogotá, Distrito Capital
Senior level
Information Technology
The Role
The Sr. Data Engineer will analyze and translate business data into technical processes, effectively designing, building, testing, and implementing data products. Responsibilities include data mining, engineering, governance, visualization, and reporting. The role also requires proficiency in SQL, Python, and various data analytics tools.
Summary Generated by Built In

Description

Capgemini is seeking a highly motivated and detail-oriented Data Engineer to join our team to work for a top 10 US Insurance Carrier.

For this role you will be responsible to understand, analyze & translate business data stories into a technical story breakdown structure. As a Data Engineer, you are capable in design, build, test and implement data products of varying complexity, with limited coaching and guidance.
Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

Location: Colombia

Requirements
  • Fluent English skills
  • Bachelor's degree in engineering, mathematics or related
  • Minimun required work experience: 7 to 9 years
  • 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. Defines the underlying data environment via data transformation rules, data grain or other principles aligning to expectations for business intelligence and advanced analytics initiatives.
  • Data Governance and Management: Manages the availability, consistency, usability, integrity, and security of the data employed in an enterprise. Sets and maintains internal standards—data policies—that apply to how data is gathered, stored, processed, and disposed of.
  • Data Mining and Engineering: Applies knowledge of data mining practices, tools and technologies to find patterns in the data, converting raw data into useful and actionable information centered around consistent and conformed standards and expectations of the business. Designs and builds systems, applications or other utilities for collecting, storing, converting/transforming, reporting and analyzing data at scale. Engages in appropriate activities to ensure integrity, consistency and conformity of data from disparate sources to facilitate consumption and use. This includes but is not limited to collecting, cleaning and organizing raw data prior to processing or any analysis specific to a business problem or need.
  • Data Visualization and Reporting: Understands and applies knowledge of various visual aids that can be used to articulate or convey observations regarding the data. Uses the appropriate tools and techniques to condense and encapsulate the characteristics of data, making it easier to reveal and discover opportunities, identify risks, analyze trends, communicate a recommendation and drive effective decision-making.

Other Critical Skills

Data Analysis, Profiling - Advanced
PL/SQL - Intermediate
Cloud computing , Networks, concepts - Entry Level
API , Open Source Data Products - Entry Level

Software / Tool Skills

SQL - Intermediate (4-6 Years)
INFORMATICA - Intermediate (4-6 Years)
POWER BI - Entry Level (1-3 Years)
PYTHON - Entry Level (1-3 Years)
SHELL / LINUX Scripting - Entry Level (1-3 Years)
Any ETL Integration Tools - Intermediate (4-6 Years)

Benefits

This position comes with competitive compensation and benefits package:

  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Career development and training opportunities
  4. Flexible work arrangements (remote and/or office-based)
  5. Dynamic and inclusive work culture within a globally renowned group
  6. Private Health Insurance
  7. Pension Plan
  8. Paid Time Off
  9. 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. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

Top Skills

Pl/Sql
Python
SQL
The Company
HQ: Paris
340,000 Employees
On-site Workplace
Year Founded: 1967

What We Do

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

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