In this role, you will work with our Business Analytics & Insights (BAI) team, collaborating with cross-functional teams to deliver high-quality data solutions in areas such as Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.
responsibilities :
Lead the technical planning for data migration, including data ingestion, transformation, storage, and access control within Azure Data Factory and Azure Data Lake.
Design and implement scalable, efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databricks.
Develop reusable frameworks for the ingestion of large datasets.
Ensure data quality and integrity by implementing robust validation and cleansing mechanisms throughout the data pipeline.
Work with event-based/streaming technologies to ingest and process data in real-time.
Provide technical support to the team, resolving challenges during the migration and post-migration phases.
Stay current with the latest advancements in cloud computing, data engineering, and analytics technologies; recommend best practices and industry standards for data lake solutions.
requirements-expected :
Min. 4 years of IT experience.
Minimum of 4 years working with Azure Databricks.
Proficiency in Data Modeling and Source System Analysis.
Strong knowledge of PySpark and SQL.
Experience with Azure components: Data Factory, Data Lake, SQL Data Warehouse (DW), and Azure SQL.
Experience with Python for data engineering purposes.
Ability to conduct data profiling, cataloging, and mapping for technical design and construction of data flows.
Familiarity with data visualization/exploration tools.
