Data Engineer (Snowflake/AWS)

"Description of Deliverables 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 cloud data solutions and enterprise-grade ingestion pipelines using AWS and Snowflake. Optimize data warehouse structures and implement governance controls to support analytical and AI/ML initiatives.

The role requires expertise in building data pipelines and managing big data environments using Spark, Hive, and Snowflake. Candidates should be able to deliver optimized data models and maintain high standards for data quality and performance.

Identified from the job description. Confirm important requirements above.

• 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 Support

Minimum experience

0+ years

Apply by

Jan 16, 2027