Data and Machine Learning Engineer - MEXICO

Key Skills

AWS, Cloudera, Google Cloud Platform (GCP), MapReduce, PowerBI, Python Programming, SAS, SQL, Tableau

Job Description

The Data Engineer within the Analytics Center of Excellence leverages Acxiom and third-party software to create solutions to 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.

A Person in this Role:

• Understands requirements to build, enhance, or integrate data manipulation/automation programs and processes for one or more Acxiom Client solutions and/or applications. Is able to read and interpret application design and functional specifications to write or enhance application code
• 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
• Using a relevant software language, develops/executes unit test cases and tests software applications that fulfill functional specifications. Documents and interprets test results and corrects application coding errors
• Provides input on functional requirements and participates/presents code in code review sessions
• Helps accurately estimate requirements in order to deliver client solutions within time and quality standards
• 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 improvement

Requirements:

• 3+ years of experience in data engineering/programming and data analysis
• Proficient English Speaking and Writing
• 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 minimal 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. procedural)

What will set you apart:

• Experience with online and offline data. eg. 3rd party MarTech data (Email send/response, Direct Mail send/response, Prospect Lists) and/or AdTech data (Digital Ad Impressions/Activity, Social, Website activity)
• Experience working in environments with strong data privacy and data governance Hadoop architecture (Cloudera, Hortonworks, MapR)
• Client facing consulting experience
• Building reports in Tableau or other BI Tools
• R experience
• Experience working in cloud environments (Google Cloud/Amazon Web Services)
• Experience with the SAS programming language