Analytics Engineer, Guadalajara - Pentalog

Pentalog
Pentalog
Empresa verificada
Guadalajara, México

hace 4 semanas

Rodrigo Fernández

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee


Descripción
Guadalajara, Mexico- Remote work
Job perks: Big US client; Agile work environment
About the project:


_How we hire:

_:


  • At Pentalog, excellence is what you'll do. We're guided by a mission to positively impact the software development world._


As an Analytics Engineer, you will need to build and maintain the bridge between the engineering team's data and the rest of the organization.

You will also help ensure the integrity, reliability, and usability of productionalized data for all teams as they make important data-driven decisions.

The stack consists of stitch and various data engineering pipelines for extracting and loading, snowflake, dbt, and looker.


Job requirements:


  • Bachelor's in Engineering, Business, Information Systems or other quantitative discipline;
  • 6+ years of professional experience architecting and building data models that integrate complex and disparate data sources, using tools such as dbt;
  • 2+ years of professional experience building and maintaining reporting and dashboards in various enterprise Business Intelligence platforms, such as Looker;
  • Expert in SQL and database table design able to write structured and efficient queries on large data sets;
  • Experience and strong knowledge in data warehousing concepts, big data technologies, and analytics platforms (Redshift, Azure, and/or Snowflake experience strongly preferred);
  • Experience working in git workflows;
  • Excellent communication skills to work with stakeholders to translate business needs and ideas into tractable work items;
  • Top notch organizational skills and ability to manage multiple projects in a fastpaced environment;
  • A team player who always likes to give back knowledge to his colleagues;
  • A person who is quick with his thinking and loves to learn;
  • Very good communication and English language skills.

Responsibilities:


  • Be the goto data expert and understand the data warehouse and data processing layers.
  • Partner with data analytics, product managers, engineers, and business stakeholders to obtain a holistic understanding of each team's data needs and translate into infrastructure and tooling that enables a datadriven culture.
  • Own data integrity, availability, transformation logic, and efficient data access to support the growing needs of the organization.
  • Identify gaps in existing data, create data product specs and work with Engineering teams to implement data tracking.
  • Incorporate automation wherever possible to improve data pipelines and analyses.
  • Create testing and monitoring systems to ensure data quality and observability.
  • Build and maintain documentation to ensure data accessibility to all stakeholders.
  • Mentor Analytics Engineering teammates on best practices and ensuring all data products are held to the highest standards.

Extra skills:


  • Master's degree in Engineering, Business, Information Systems or other quantitative discipline;
  • Experience with ETL/ELT tools (especially with dbt).

Benefits:


  • Highly competitive salary;
  • The option of fullremote work;
  • Free pass to learning platforms;
  • Very attractive benefits above the law;
  • The worklife balance everyone seeks out (and plenty of snacks);
  • Free pass to learning platforms;
  • A very active community (Meetups, PentaBar, Lunch & Learn, PentaSport);

About Pentalog:


As a leading European Software Services company operating internationally in France, Romania, Germany, Poland, Moldova, UK, Vietnam, Mexico and USA, we employ over 1,600 engineers and IT experts who work in a very dynamic, multicultural working environment.


At Pentalog, your talents & ambitions are recognized and rewarded; we offer plenty of opportunities to develop, both individually, as well as a professional, and we reward our collaborators who understand the importance of self-improvement.


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