Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.
About the role
- Data Engineer responsible for data modeling and exploration to generate client business opportunities. Working with a hybrid model two days in the office located in the Porto region.
Responsibilities
- Join a team that works on data exploration and modeling to generate business and management opportunities for our client.
Requirements
- At least 3 years of experience in similar roles
- Experience in data engineering or equivalent roles
- Proficiency in data modeling and storage (Data Warehouse, Data Lake, ...)
- Experience with SQL, Python, and PySpark (or equivalent data processing technologies)
- Knowledge of engineering best practices: code versioning (Git), code review, development patterns, and automation
- Familiarity with cloud environments (e.g., Azure, GCP, or AWS)
- Familiarity with reporting tools (e.g., MicroStrategy) - Nice to have
- Familiarity with distributed ecosystems, ideally including Hadoop, Hive, Spark, or Databricks
Benefits
- Flexible contracting model
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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