Design scalable and reliable data marts and transformation processes that support analytics and reporting needs
Job Summary
Design scalable and reliable data marts and transformation processes that support analytics and reporting needs.
Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting.
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning.
Matching Summary
Design scalable and reliable data marts and transformation processes that support analytics and reporting needs.
Skills & Requirements
Must-have
SQL and relational databases
Cloud platforms (Azure, AWS, GCP)
Programming languages (Python, Java, Scala)
ETL/ELT pipelines
Data modeling and schemas
Databricks and Spark
Nice-to-have
Salesforce data experience
Building analytics datasets
Azure cloud services experience
Postgres or Vertica experience
Key Requirements
Bachelor's or Master's degree in Computer Science or related field, or equivalent experience
Strong proficiency in SQL
Experience building data pipelines in a cloud environment
Experience with at least one programming language (Python, Java, Scala)
Knowledge of ETL/ELT processes and data warehousing best practices
Strong written and verbal English communication skills (B2 level or higher)