Proactive & Data Driven Support product provides analitycs, data and tools to proactively identify insights and support employees remotely in order to improve the employee experience.
Data Engineer
Your responsibilities
- Analyze and organize raw data.
- Build data systems and pipelines.
- Evaluate business needs and objectives.
- Interpret trends and patterns.
- Conduct complex data analysis and report on results.
- Prepare data for prescriptive and predictive modeling.
- Build algorithms and prototypes.
Our requirements
- At least 3 years of experience in programming languages like Python (preferable), Java or Scala.
- At least 3 years of experience using ETL technologies and processes like Talend (preferable)
- At least 4 years of experience in data & analytics-related projects.
- Some experience in some BI tools is an advantage (preferably Tableau)
- At least 4 years of experience in data warehousing, good understanding of data modeling methodologies (ideally Data Vault)
- relational databases, and very good skills in SQL.
- At least 2 years of experience in any of the main public cloud providers, AWS is preferred
- General understanding of cloud-native applications architecture and development.
- Very good understanding of CI/CD, DevOps principles, and hands-on experience using Git repositories
- Familiarity with machine learning technologies
- At least 2 years of experience with Snowflake.
- Hands-on experience working with Docker/Kubernetes environments.