Data Engineer Mid
Core
Designing and maintaining Data Lake, Lakehouse, and Data Warehouse solutions by modeling data and processing large volumes in cloud environments.
Role type
Mid-level Data Engineer
Builds
Data Lake, Lakehouse, and Data Warehouse architectures
Domain
Cloud data engineering and Big Data
Required skills
Data modeling (dimensional, analytical, tabular), Python, Azure, Databricks, Spark, SQL, Erwin, Power BI, Oracle, Impala, Hive, MongoDB, MySQL, SQL Server, Cosmos DB, SSIS, SSAS, SSRS, Power Automate, Linux, Windows
Preferred skills
Multi-cloud platform experience (AWS, Google Cloud), Linux/Windows environments, distributed Big Data processing
Technologies
Azure, Databricks, Spark, Erwin, Power BI, Oracle, Impala, Hive, MongoDB, MySQL, SQL Server, Cosmos DB, SSIS, SSAS, SSRS, Power Automate, HDFS
Responsibilities
Model data using Erwin for Data Lake/Lakehouse solutions; work with Big Data architecture layers (UDV, DDV); manipulate data in Oracle, Impala, Hive, Databricks, and Azure; participate in Scrum ceremonies; manage Jira Kanban boards; collaborate on Data Warehouse/Lakehouse evolution; work with distributed processing technologies; collaborate with multidisciplinary teams
Seniority
Mid-level, hands-on IC
