The Enterprise Tools Data Engineer is responsible for designing and implementing data engineering solutions across the enterprise tooling ecosystem, building scalable data platforms, ingestion frameworks, and Lakehouse architectures
Job Summary
The Enterprise Tools Data Engineer is responsible for designing and implementing data engineering solutions across the enterprise tooling ecosystem, building scalable data platforms, ingestion frameworks, and Lakehouse architectures.
Key responsibilities include designing and building end-to-end data ingestion pipelines, implementing batch and streaming ETL/ELT, developing scalable Lakehouse architectures, and optimizing pipeline performance and cost efficiency.
Join a dynamic organization of 25,000 people across 65 countries that values innovation, quality, and continuous improvement, offering tailored benefits and support.
Matching Summary
The Enterprise Tools Data Engineer is responsible for designing and implementing data engineering solutions across the enterprise tooling ecosystem, building scalable data platforms, ingestion frameworks, and Lakehouse architectures.
Skills & Requirements
Must-have
Snowflake, Microsoft Fabric, AWS, Kafka expertise
Design and build data ingestion pipelines
Implement batch and streaming ETL/ELT
Develop scalable Lakehouse architectures
Strong SQL + Python for ETL/ELT
API ingestion + streaming experience
Nice-to-have
CI/CD for data pipelines
Data quality/observability tools
Agile Methodologies understanding
Global experience
Strong communication and presentation skills
Key Requirements
Experience with Lakehouse formats (Parquet/Delta/Iceberg)