.The Data Engineer within the Analytics Center of Excellence leverages Acxiom and third-party data to create solutions for business problems defined by specific business requirements. In this position, you will draw upon technical and data processing knowledge to solve complex marketing analytics problems on very large volumes of data.Location: Lomas Atlas, Mexico City, MXA Person in this Role:- Develops automation jobs for data orchestration, data analysis, and data transfers- Draws upon past technical experiences to adapt to new programming languages and technologies on the fly to deliver on assigned projects- Provides input on functional requirements and participates/presents code in code review sessions- Helps accurately estimate requirements in order to deliver client solutions given time and quality requirements- Interacts with client/stakeholders to understand and resolve problems in a timely manner, prioritizing multiple issue responses based on the severity of the case- Utilizes standard/Acxiom methodologies to ensure that overall solution and data integrity is maintained- Understands Acxiom solution software. Defines solutions standards, policies, and procedures- Identifies and diagnoses areas of maintenance and process improvementRequirements for the Position:- B.S. in Computer Science, Data Science, Management Information Systems, Statistics, Analytics or any other related field. 3+ years of experience in data engineering/programming and data analysis.- Experience leveraging SQL and Python (dataframes) for data pipeline orchestration, file ingestion, data cleansing, data joining and relationships, data manipulation, and data analysis to create meaningful informed results that drive analytics and reporting- Good communication skills: Ability to formulate and present insights to both technical and non-technical peers, leaders, and clients- Ability to develop creative solutions to abstract analytic problems with mínimal guidance on the parameters for the final product- Experience troubleshooting and performance tuning data, code, and environmental configurations- Excellent understanding of data concepts, data architecture, data manipulation/engineering, and data engineering design- An understanding in multiple types of programming languages in order to be adaptable (statically typed vs. dynamically typed and object-oriented vs
