Description
You will design and oversee data architectures focused on warehousing, analytics, and big data environments.
Responsibilities
- Design reusable domain-specific datasets for Data Lakes using dimensional modeling, data vault, and 3rd Normalization.
- Develop PowerBI Tabular models to enable self-service analytics.
- Optimize data structures and formats such as Parquet and ORC within Big Data and Hadoop environments.
- Execute complex SQL queries and data exploration methods to drive architectural decisions.
Required Skills
- 15+ years of experience in Data Warehousing or Data Analytics.
- Expertise in SQL, SparkSQL, Python, and PySpark.
- Hands-on experience with Azure data platform tools including ADF, Synapse, Databricks, and Zen2 storage.
- Proficiency in PowerBI.
- Deep understanding of relational vs. non-relational data formats in Data Lake environments.
- Experience with data modeling tools such as ERWin.
- Domain experience in Supply Chain and Manufacturing.
- Any Graduate degree.
Preferred Skills
- Working experience with data from SAP ERP systems.