Job description
Job Description
You will work closely with cross-functional teams to deliver high-quality solutions in domains such as Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.
Key Responsibilities:
- Be part of the technical plan for the migration, including data ingestion, transformation, storage, and access control in Azure’s Data Factory and data lake.
- Design and implement scalable and efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databricks
- Developing scalable and re-usable frameworks for ingesting of data sets
- Ensure data quality and integrity throughout the entire data pipeline, implementing robust data validation and cleansing mechanisms.
- Working with event based/streaming technologies to ingest and process data.
- Provide support to the team, resolving any technical challenges or issues that may arise during the migration and post-migration phases.
- Stay up to date with the latest advancements in cloud computing, data engineering, and analytics technologies, and recommend best practices and industry standards for implementing the data lake solution.
Qualifications
- 5+ years of IT experience.
- Min. 4 years of Experience working with Azure Databricks.
- Experience in Data Modelling & Source System Analysis
- Familiarity with PySpark.
- Mastery of SQL.
- Knowledge of components: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL.
- Experience with Python programming language used for data Engineering purposes.
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
- Experience in data visualization/exploration tools.
- Excellent communication skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders.
- Strong team player with excellent interpersonal and collaboration skills.
