INTL- LATAM- Data Engineer

Job Description

• Strong SQL and Python skills

• Databricks, Azure Data Factory (ADF)

• Data modeling and Medallion Architecture

• Unity Catalog and data governance concepts

• Data quality, testing, and observability

• Reporting and visualization tools such as Tableau, ThoughtSpot, Cognos

• Understanding of semantic layers and AI/BI capabilities Key Responsibilities:

• Design and build scalable data pipelines

• Support business analytics and operational reporting

• Improve data quality and governance practices

• Enable AI-driven analytics and business insights

• Nearshore Opportunities

Skills and Requirements

• Strong SQL and Python skills

• Databricks, Azure Data Factory (ADF)

• Data modeling and Medallion Architecture

• Unity Catalog and data governance concepts

• Data quality, testing, and observability

• Reporting and visualization tools such as Tableau, ThoughtSpot, Cognos

• Understanding of semantic layers and AI/BI capabilities Key Responsibilities:

• Design and build scalable data pipelines

• Support business analytics and operational reporting

• Improve data quality and governance practices

• Enable AI-driven analytics and business insights

• Nearshore Opportunities

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].