Description

You will design, build, and optimize data architectures and data flows for cross-functional teams.

Responsibilities

• Assemble large, complex data sets meeting functional and non-functional business requirements.
• Design and implement process improvements, including re-designing infrastructure for scalability and optimizing data delivery.
• Build infrastructure for efficient extraction, transformation, and loading of data from various sources using Azure Cloud technologies.
• Create and maintain optimal data pipeline architecture while ensuring data quality and accuracy.
• Collaborate with stakeholders to support data infrastructure needs and interpret data trends for analysis.

Required Skills

• Minimum of 10 years experience as a data engineer or in a similar role.
• 10+ years experience with Azure Cloud.
• Expertise with ADF, ADLS, Synapse, and Data Warehouse (dedicated pool).
• Strong knowledge of Python and Java.
• Hands-on experience with SQL database design and advanced SQL query authoring.
• Experience building and optimizing 'big data' pipelines and data sets.
• Technical expertise with data models, data mining, and segmentation techniques.
• Bachelor’s degree in Computer Science, Information Systems, or similar field.

Key Skills

Education

Any Graduate