Infotree Global Solutions is a dynamic and entrepreneurial company, comprised of a team of dedicated professionals with over 50 years of direct experience.

We pride ourselves on our high level of customer service and repeat customers. Attention to customer service and innovative solutions in Human Resources, Engineering and IT has helped us to achieve an average yearly growth of over 100% since our founding.

When you talk to Infotree's customers, you will repeatedly hear that it is Infotree's personalized attention and focus to customer needs that has resulted in such strong repeat business.

We are looking for: SENIOR DATA ENGINEER (Remote Mexico)

Level: 4

On Call: Yes - Rotation

Schedule:?Depends on time zone but 9 AM to 5 PM PST?|PST +- 3 hours for EST

• 7+ years of experience using Python/SQL (or equivalent) programming languages.
• 7+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions.
• Familiarity with GCP Big Query and Presto is a plus.
• Proficiency with advanced graphics/visualization software (e.g., MicroStrategy, Tableau, Looker).
• Experience with cloud environments such as AWS and/or GCP.
• Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow, Apache Beam.
• Strong analytical and problem-solving skills.
• Clear and effective written and verbal communication and strong interpersonal skills.
• Ability to develop strong relationships with a multitude of teams and stakeholders.

• Will On Call be outside of the standard work shift??On-call will be 24x7 on pager duty.
• What are the expected coverage hours for the on-call shift??24x7
• Is the on-call duty limited to weekdays, or does it include weekends and holidays??Both weekdays and weekends
• What is the expected response time during on-call hours??15 min for pager duty
• How frequently will the engineer be on-call (e.g., weekly, monthly)? Depends on the size of the team. Usually it is like once a month.
• What types of incidents are typically handled during on-call (severity, volume)??Pager duty is only P1 or P2 severity
• Is there a formal escalation process or tiered support structure??Yes
• They should be able to communicate those insights effectively to build confidence and enable decisions that drive business value.

Key Responsibilities:

• Partner with key stakeholders on data collection and analysis problems. Apply common statistical methods, data modeling, and predictive analysis to answer strategic questions.
• Provide actionable insights to the business through data analytics and synthesize results into succinct presentations for senior management.
• Collect data to analyze, execute, and measure operational behavior.
• Support BI reporting, database production, and ad hoc analysis.
• Dive deep into complex business problems and provide insights into acquisition and demand patterns through hypothesis testing.
• Utilize SQL/Python or other relevant statistical tools for data mining and predictive analytics.
• Maintain Airflow pipelines that ETL data to various sources (S3, MySQL, etc.).
• Reconcile divergent demands of multiple stakeholders in a fast-paced work environment.

Interested? We'd love for you to get in touch!