Senior Data Engineer

Location: Buenos Aires, Buenos Aires

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Descripción de la empresa

Present in over 100 countries and employing nearly 80,000 professionals, Publicis Groupe is the third largest communications group in the world. As a Connecting Company for the Connected Age, Publicis Groupe is able to deliver winning solutions for clients through the Power of One - driven by a common purpose, a powerful spirit, shared behaviors, great character and a relentless focus on our clients.

Based on The Power Of One mantra, we created Publicis Global Delivery, a solution providing offshore & nearshore expertise of all Publicis Global Services’ capabilities. World-Class talent united in One-Team.

From Publicis Global Delivery, we are looking for a Data Scientist/Analyst to join Publicis Sapient´s team.

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. This requires big thinkers who bring insight, knowledge, technical acumen and passion for innovation.

As digital pioneers with 20,000 people and 53 offices around the globe, we offer the opportunity to join a recognized leader in developing and delivering ground-breaking solutions for today’s dynamic global marketplace and an award-winning culture that fosters growth and leadership.

Descripción del empleo


Senior Associate Data Engineer will collaborate with a team of business stakeholders and technologists to produce enterprise scale solutions for our clients’ needs. This position will be focused on building out customer data / profile databases, data warehouse solutions and CRM analytics dashboards to enable data-driven CRM programs.

Primary Responsibilities:

  • Co-lead the design, development, and delivery for CRM data systems, data processing, and campaign dashboards to enable faster, data-informed decision-making within the business.
  • Work with the business’s data analytics teams, data scientists, and software engineers to understand and aid in the implementation of database and dashboard requirements, analyze performance, and troubleshoot any issues.
  • Define and build the ETL and data pipelines for visualization tools like QlikSense, Tableau, Sisense, etc.
  • Responsible for the maintenance, improvement, cleaning, and manipulation of customer data platform and analytics databases.
  • Maintain data integrity by adhering to coding standards and best practices, creating QA processes and performing regular data quality checks
  • Serve as technical resource during CRM program planning to identify detailed data-attribute requirements that translate into technical business requirements for program designs and measurement.
  • Use information gained through prior experience, knowledge sharing with other technology associates, education and training to resolve issues and remove project barriers.
  • Provide status updates to team members on a regular basis and clearly escalate issues and risks to project management as needed.
  • Deliver quality work on defined tasks with little oversight and direction.


Required Skills and Experience:

  • BS in Computer Science or equivalent education/professional experience is required.
  • 5+ years in a data-engineering role with demonstrable experience with data integration and data warehouse projects.
  • Experience sourcing data from disparate systems with strong understanding of data models, warehouse design, ETL procedures, and data transformation, cleansing and quality procedures.
  • Experience working with different query languages (i.e. Python, SQL, QlikSense scripting)
  • Experience with CDP / cloud environments (Snowflake, Azure, GCP, Snowflake Computing, BigQuery. etc.)
  • Experience in data integration projects and automation via ETL Tools (Alteryx, Talend, Informatica, SSIS, etc.).
  • Experience in Hadoop ecosystem is a plus (Hive, Spark, Impala, etc.).
  • Understanding of development and project methodologies.
  • Ability to work collaboratively in teams with other specialized individuals.
  • Ability to work in a fast-paced, technical environment.
  • Strong verbal and written communication skills.
  • Strong sense of ownership and pride on the quality of data.

Información adicional


  • Access to Prepaid Medical Plan
  • Flexible schedules
  • Flexible WFH Policy
  • 14 business days of vacation
  • Free week at the end of the year
  • English lessons
  • Discounts on courses, trainings and universities
  • Access E-Learning platforms
  • Certification programs
  • Salary adjustments every 3 months
  • Level up program

*** Mention DataYoshi when applying ***

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