Scala/Spark Manager Data Engineering

Company description

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. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Overview

We are looking for a Manager Data Engineering to lead a high-performing team in designing, building, and optimizing large-scale data solutions. The ideal candidate will have a strong background in data engineering, hands-on recent experience with Scala, and the ability to guide teams in delivering scalable, reliable, and high-quality data pipelines on modern platforms.

Responsibilities

Your Impact

• Lead and manage a team of data engineers, driving the design, development, and maintenance of robust data solutions.
• Reverse-engineer existing SQL queries and Scala code to understand functionality and ensure high-quality standards across deliverables.
• Use automated tools to extract, clean, and transform data from multiple sources, ensuring accuracy and reliability.
• Build and optimize database designs, data models, and techniques for data mining, supporting both operational and analytical use cases.
• Identify, analyze, and interpret complex data sets to uncover patterns, trends, and insights that inform business decisions.
• Collaborate with programmers, engineers, and management stakeholders to identify process improvement opportunities and propose system modifications.
• Develop and enforce data governance strategies to maintain consistency, security, and compliance.
• Deliver clear and impactful reports for senior management, outlining trends, predictions, and actionable insights.

Qualifications

Your Skills and Experience

• 8+ years of experience in Data Engineering, with proven expertise in designing and implementing large-scale data solutions.
• Recent hands-on experience with Scala and strong knowledge of Apache Spark.
• Solid expertise in SQL with the ability to reverse-engineer SQL queries and Scala code to assess and optimize functionality.
• Demonstrated experience as a Technical Lead, guiding teams of data engineers and ensuring delivery quality.
• Proven experience in database design, data modeling, data mining, and segmentation.
• Strong analytical skills with the ability to identify trends, patterns, and insights in complex data sets.
• Technical proficiency across data extraction, cleaning, and transformation using automated tools.
• Experience with statistical tools and packages for data analysis.
• Proficiency in additional programming languages such as SQL, Oracle, R, or Python.
• Familiarity with reporting packages (e.g., Business Objects) and ETL frameworks.

Set Yourself Apart With

• Hands-on experience with Hadoop and CouchDB.
• Experience analyzing the quality and meaning of data to enhance reliability and usability.
• Exposure to data visualization tools such as Tableau or Qlik.
• Knowledge of advanced algorithms and their application to large data sets.
• Experience in hospitality data mapping systems (ACRS, MARSHA) and supporting epics with data-related queries.
• Familiarity with containerization and cloud-based deployments.

Additional information

This role is open for Contractor modality in Colombia, Costa Rica, Mexico and Brazil.