Data Engineer (Snowflake / AWS)

Job Description : Design and implementation of scalable Big Data and Cloud Data Solutions leveraging AWS, Spark, Hive, and Snowflake. Development of enterprise-grade data ingestion, transformation, and integration pipelines supporting analytical and operational workloads. Delivery of optimized data warehouse and data lake structures, including logical and physical data models. Creation of reusable data engineering frameworks, standards, and technical documentation. Implementation of data quality, validation, monitoring, and governance controls across data platforms. Performance tuning and optimization of data processing workflows, Snowflake environments, and cloud infrastructure. Support for analytics, reporting, and AI/ML initiatives through delivery of trusted and curated data assets. Knowledge transfer, technical guidance, and operational support documentation to ensure sustainable platform management."

Design and implement scalable Big Data and Cloud Data solutions using AWS, Spark, and Snowflake. Develop enterprise-grade data pipelines and optimize data warehouse structures to support analytical and AI/ML workloads.

The role requires expertise in building data ingestion, transformation, and integration pipelines. Candidates should be capable of implementing data quality controls and optimizing cloud infrastructure performance.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AWS
• Spark
• Hive
• Snowflake
• Big Data
• Cloud Data Solutions
• Data Ingestion
• Data Transformation
• Data Integration
• Data Warehousing
• Data Lake
• Data Modeling
• Data Quality
• Data Governance
• Performance Tuning
• AI/ML

Expérience minimale

0+ ans

Postuler avant le

19 août 2026