Job Information
Publicis Groupe Senior Data Engineer (on-site in CDMX) in Mexico City, Mexico
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 62 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.
Responsibilities
Design, develop, and maintain robust data pipelines using Python with a focus on object-oriented programming.
Implement ETL processes using frameworks such as PySpark, dbt, and similar tools.
Write efficient SQL code and manage databases, with expertise in Oracle and MS SQL.
Collaborate with a globally distributed team to deliver high-quality data solutions.
Engage with clients to understand their data needs and provide effective solutions.
Work closely with team members to foster a collaborative and supportive work environment.
Qualifications
Qualifications:
Strong proficiency in Python with object-oriented programming.
Hands-on experience with ETL frameworks like PySpark and dbt.
Advanced SQL coding skills, particularly with Oracle and MS SQL.
Excellent client communication and engagement skills.
Ability to work effectively with a globally distributed team.
Strong team player with a collaborative mindset.
Nice to have:
Familiarity with AWS services such as S3, EKS, and containerization.
Experience with Autosys.
Knowledge of PowerCenter.
Proficiency in shell scripting and Unix commands.