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About the Role
We are seeking a highly skilled Senior Data Engineer to join our team at Fractal. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining scalable big data solutions to support our agriculture supply chain operations.
Key Responsibilities:
- Architect and implement end-to-end big data solutions using the Cloudera Hadoop ecosystem (HDFS, Hive, Impala, Spark, etc.)
- Design and develop efficient data ingestion, transformation, and loading processes to integrate data from various sources across the agriculture supply chain
- Create scalable data storage and processing frameworks to support real-time and batch analytics
- Implement data quality checks, data lineage, and data governance practices to ensure data integrity
- Work closely with data scientists and business analysts to understand requirements and translate them into technical solutions
- Optimize system performance, monitor, and troubleshoot issues in the big data infrastructure
- Mentor and guide junior data engineers on best practices and new technologies
- Document technical designs, processes, and procedures for knowledge sharing and future maintenance
Requirements
- 8-12 years of experience as a Data Engineer or Big Data Engineer
- Expertise in designing and implementing Cloudera Hadoop-based data platforms
- Proficient in Python, Scala, or Java for developing data processing pipelines
- Strong understanding of data modeling, ETL, and data warehousing concepts
- Experience with big data technologies such as Spark, Kafka, Hive, Impala, Sqoop, and Flume
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
- Hands-on experience in the agriculture or supply chain domain
- Excellent problem-solving, analytical, and communication skills
- Ability to work in a team and mentor junior engineers
Preferred Qualifications:
- Master's degree in Computer Science, Data Science, or a related field
- Certifications in Cloudera, Hadoop, or other big data technologies
- Experience in agile software development methodologies
