Azure Data Engineer - INTL LATAM

Job Description

A client is looking for a Data Engineer to join their team in Mexico. They will be supporting our platform, Mosaic which delivers a systemized capability for the complete planning & forecasting process by each customer, product, and business unit across the sector, as well as reporting analytics for actuals. They will use Databricks to gather, cleanse, transform and analyze large datasets in preparation for data scientists to build data models with.

They will then use Synapse Analytics to integrate big data and data warehousing to query structured and unstructured data as well as Teradata to handle enterprise-level data warehousing with SQL-based transformations. They are also involved in stakeholder management, guiding them with data‑driven insights.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

• 4+ years experience as a data engineer
• 2+ year experience of navigating data in Azure Databricks, ADF, PySpark technologies
• Ability to use SQL to analyze data for both development validation and operational support is critical
• Strong analytical skills with demonstrated ability to interpret business requirements into performant business solutions
• Ability to solve medium complexity problems with little to no direction from management
• Knowledge of Scaled Agile Framework / Agile Dev Ops delivery
• Strong written and verbal communication skills, comfortable customer facing, working cross functionally with different teams