Build and maintain data pipelines to collect, transform, and load information from various sources, using tools such as Azure Data Factory and Databricks.
Manage relational and non-relational databases, applying efficient modeling to ensure proper storage and availability.
Optimize the performance of data solutions, continuously improving speed and efficiency.
Implement and monitor routines to ensure data quality, integrity, and security.
Collaborate with analysts, data scientists, and other engineers to deliver robust solutions aligned with business needs.
Monitor data platform performance, identify issues, and act quickly to resolve them.
Automate repetitive processes by creating scripts and tools.
Requirements
Previous experience as a Data Analyst.
Advanced programming skills in Python.
Strong knowledge of SQL and experience with various database systems (relational and non-relational).
Experience with ETL/ELT tools and concepts, particularly Azure Data Factory and Databricks.
Familiarity with Data Warehouse, Data Lake, or Data Lakehouse concepts.
Cloud computing experience (AWS, Azure, or Google Cloud) is a plus.
Strong analytical skills and the ability to solve complex problems.
Bachelor's degree (completed).
Benefits
Meal voucher or food allowance (no deduction)
30 kg grocery basket (no deduction)
On-site cafeteria (with discount)
Transportation voucher (6% deduction)
Health and dental plans (with co-payment)
Life insurance
Birthday day off
On-site gym (with discount)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLETLELTAzure Data FactoryDatabricksData WarehouseData LakeData Lakehousedatabase management