Requirement
- 5+ years of relevant experience in data engineering/analytics space
- Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
- Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka
- Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
- Experience developing solutions for cloud computing services and infrastructure.
- Experience developing and maintaining data warehouses in big data solutions.
- Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective
- Experience in agile development.
- Strong people skills, specifically in collaboration and teamwork
- High level of curiosity, creativity, and problem-solving capabilities.
