SENIOR DATA ENGINEER
Descripción de la oferta de empleo
(CMG) is a financial technology firm, uniquely focused on the equity capital markets (ECM), connecting investors and underwriters via a collaborative network.
Launched in by a team of ECM practitioners, CMG has completed two successful fundraising rounds and is backed by a group of the world’s most prestigious financial institutions such as Goldman Sachs, J.
.
organ, UBS, and Barclays to name a few.
The CMG platform is currently relied upon by nearly 135 buy-side firms representing $40 trillion in assets under management and 17 global investment banks.
Role and Responsibilities We are looking for a Data Engineer to join our passionate team.
In this role, you will be part of a team responsible for building and maintaining scalable data pipelines and architecture, utilizing the latest data technologies to solve complex problems in investment finance.
Your work will enable our clients to access mission-critical data and analytics to make impactful decisions in global capital markets.
Exploring and loading a variety of data sets from market data sources.
Transforming, reconciling, and integrating source data into easily consumable data products for our clients.
Contributing to the development of a scalable data architecture that supports large data volumes and various access mechanisms.
Designing and implementing new data systems and infrastructure.
Advancing sound data engineering practices to automate processing, testing, and quality checks.
Qualifications English proficiency at C1 or C2 level.
A higher education degree in Computer Science or a related field is preferred.
Understanding of data modeling, data lakes, and data warehousing concepts.
Deep knowledge of SQL and relational databases; experience with SnowSQL is a plus but not essential Experience using scripting languages like Python and shell scripting for common data processing tasks.
Analytical skills to understand complex requirements, process large volumes of information, and design innovative solutions.
Strong communication and collaboration skills are essential.
Willingness to work in a US time zone.
Desirable Skills and Experience Experience with Snowflake and Kubernetes is desirable.
Experience with DBT and ARGO is a plus.
Familiarity with financial market data, including fundamentals, pricing, and corporate actions is an advantage Some analytics and AI experience is beneficial What We Offer 15 days of vacation annually.
Contributions towards gym membership.
Access to language courses.
Opportunities for tech courses and participation in conferences.
Provision of a top-of-the-line MacBook.
Potential for trips to the USA.
Company team-building events.
Flexible working hours with a hybrid working environment We celebrate diversity and are committed to creating an inclusive work environment.
CMG is an equal-opportunity employer.
Detalles de la oferta
- Sin especificar
- En todo México
- Sin especificar - Sin especificar
- Sin especificar
- 03/12/2024
- 03/03/2025
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