Lead AI Engineer focused on developing cutting - edge AI/ML solutions tailored for after - sales operations. Guiding a team of AI engineers from ideation to deployment and continuous improvement.
About the role
- Data Engineer developing data products and solutions for agricultural and trading analytics. Collaborating with teams to maintain pipelines and improve data processes in cloud environments.
Responsibilities
- Develops moderately complex data products and solutions using data engineering and cloud technologies
- Maintains and supports the development of data pipelines for batch and streaming data
- Reviews existing data systems and architectures for improvements
- Helps prepare data infrastructure for efficient storage and retrieval of data
- Partners with teams to collect requirements and ensure data solutions meet needs
- Builds prototypes to test new concepts and implements data engineering frameworks
- Performs moderately complex data modeling aligned with technology
Requirements
- Minimum requirement of 3 years of relevant work experience
- Hands-on experience with the Hadoop ecosystem (HDFS, Hive, MapReduce) and distributed processing frameworks like Apache Spark
- Strong proficiency in Python, Scala, and advanced SQL
- Proven ability to design, build, and optimize ETL/ELT pipelines
- Hands-on with modern data warehouses like Snowflake & Lakehouse Architecture
- Experience with transaction management, backup/restore, high availability
- Understanding and implementation of data quality frameworks and metadata management
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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