Only W2 Candidates.

Data Engineer

Introduction:

As a Data Engineer on our team, you will play a crucial role in designing, developing, and maintaining data pipelines and architecture to support our organization's data needs. You will work closely with cross-functional teams to ensure data quality, reliability, and accessibility for various business intelligence and analytics applications.

Responsibilities:

• Design and implement data pipelines using ADF, SAP, Python, and Microsoft Azure technologies.
• Develop and maintain data models for optimal performance and scalability.
• Extract, transform, and load data from multiple sources into data warehouses or data lakes.
• Work with SAP BI and SAP BODS to extract data from SAP systems.
• Utilize SQL for querying and manipulating data.
• Apply machine learning techniques to enhance data processing and analysis.
• Collaborate with stakeholders to understand data requirements and deliver solutions that meet business needs.
• Implement data governance and security best practices to ensure data integrity and compliance.

Requirements:

Required Skills:

• 2-5 years of technical experience in data engineering.
• Expertise in Azure Synapse and Azure Data Factory.
• Strong understanding of data modeling concepts.
• Familiarity with SAP BW concepts such as InfoCubes, DSOs, and CompositeProviders.
• Experience working with SAP data related to supply chain and operations.
• Proficiency in Python and machine learning (ML) experience is preferred.
• Experience with ETL tools such as SAP Data Services, Azure Data Factory, or similar connectors.
• Solid SQL skills for data querying and manipulation.
• Understanding of both source and target platforms for data integration.
• Knowledge of Azure Synapse Analytics features including workspace, SQL pools, integration pipelines, and Synapse Studio.
• Experience in supply chain management and analytics.